Overview

Brought to you by YData

Dataset statistics

Number of variables202
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Total size in memory15.5 MiB
Average record size in memory1.6 KiB

Variable types

Text1
Numeric201

Alerts

ID_code has unique values Unique
target has 9004 (90.0%) zeros Zeros

Reproduction

Analysis started2025-02-26 17:10:22.915502
Analysis finished2025-02-26 17:10:29.097430
Duration6.18 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

ID_code
Text

Unique 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:29.879186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.4502
Min length7

Characters and Unicode

Total characters114502
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowtrain_71043
2nd rowtrain_88452
3rd rowtrain_167046
4th rowtrain_154323
5th rowtrain_7675
ValueCountFrequency (%)
train_71043 1
 
< 0.1%
train_103633 1
 
< 0.1%
train_137881 1
 
< 0.1%
train_167046 1
 
< 0.1%
train_154323 1
 
< 0.1%
train_7675 1
 
< 0.1%
train_58746 1
 
< 0.1%
train_98739 1
 
< 0.1%
train_85746 1
 
< 0.1%
train_73218 1
 
< 0.1%
Other values (9990) 9990
99.9%
2025-02-26T22:40:31.226160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 10037
 
8.8%
t 10000
 
8.7%
r 10000
 
8.7%
a 10000
 
8.7%
i 10000
 
8.7%
n 10000
 
8.7%
_ 10000
 
8.7%
5 5066
 
4.4%
2 5045
 
4.4%
6 5043
 
4.4%
Other values (6) 29311
25.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 114502
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 10037
 
8.8%
t 10000
 
8.7%
r 10000
 
8.7%
a 10000
 
8.7%
i 10000
 
8.7%
n 10000
 
8.7%
_ 10000
 
8.7%
5 5066
 
4.4%
2 5045
 
4.4%
6 5043
 
4.4%
Other values (6) 29311
25.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 114502
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 10037
 
8.8%
t 10000
 
8.7%
r 10000
 
8.7%
a 10000
 
8.7%
i 10000
 
8.7%
n 10000
 
8.7%
_ 10000
 
8.7%
5 5066
 
4.4%
2 5045
 
4.4%
6 5043
 
4.4%
Other values (6) 29311
25.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 114502
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 10037
 
8.8%
t 10000
 
8.7%
r 10000
 
8.7%
a 10000
 
8.7%
i 10000
 
8.7%
n 10000
 
8.7%
_ 10000
 
8.7%
5 5066
 
4.4%
2 5045
 
4.4%
6 5043
 
4.4%
Other values (6) 29311
25.6%

target
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0996
Minimum0
Maximum1
Zeros9004
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:31.534855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.299480899
Coefficient of variation (CV)3.006836336
Kurtosis5.153954703
Mean0.0996
Median Absolute Deviation (MAD)0
Skewness2.674495083
Sum996
Variance0.08968880888
MonotonicityNot monotonic
2025-02-26T22:40:31.836418image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 9004
90.0%
1 996
 
10.0%
ValueCountFrequency (%)
0 9004
90.0%
1 996
 
10.0%
ValueCountFrequency (%)
1 996
 
10.0%
0 9004
90.0%

var_0
Real number (ℝ)

Distinct9533
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.65194825
Minimum0.4528
Maximum19.9984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:32.217153image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.4528
5-th percentile5.996485
Q18.4371
median10.5354
Q312.69235
95-th percentile15.94595
Maximum19.9984
Range19.5456
Interquartile range (IQR)4.25525

Descriptive statistics

Standard deviation3.019430843
Coefficient of variation (CV)0.283462778
Kurtosis-0.2213155022
Mean10.65194825
Median Absolute Deviation (MAD)2.1305
Skewness0.2184363389
Sum106519.4825
Variance9.116962613
MonotonicityNot monotonic
2025-02-26T22:40:32.646929image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.2322 3
 
< 0.1%
7.6387 3
 
< 0.1%
12.2622 3
 
< 0.1%
11.8339 3
 
< 0.1%
13.7533 3
 
< 0.1%
10.6176 3
 
< 0.1%
9.9361 3
 
< 0.1%
7.9036 3
 
< 0.1%
7.3039 3
 
< 0.1%
13.8584 3
 
< 0.1%
Other values (9523) 9970
99.7%
ValueCountFrequency (%)
0.4528 1
< 0.1%
0.5979 1
< 0.1%
1.6044 1
< 0.1%
1.8504 1
< 0.1%
1.9488 1
< 0.1%
ValueCountFrequency (%)
19.9984 1
< 0.1%
19.431 1
< 0.1%
19.3315 1
< 0.1%
19.3184 1
< 0.1%
19.2514 1
< 0.1%

var_1
Real number (ℝ)

Distinct9629
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.72470258
Minimum-13.6296
Maximum8.5849
Zeros0
Zeros (%)0.0%
Negative6488
Negative (%)64.9%
Memory size156.2 KiB
2025-02-26T22:40:33.089094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-13.6296
5-th percentile-8.206685
Q1-4.846625
median-1.72265
Q31.27975
95-th percentile4.89264
Maximum8.5849
Range22.2145
Interquartile range (IQR)6.126375

Descriptive statistics

Standard deviation4.053663191
Coefficient of variation (CV)-2.350354918
Kurtosis-0.5872268463
Mean-1.72470258
Median Absolute Deviation (MAD)3.06145
Skewness0.06781594263
Sum-17247.0258
Variance16.43218527
MonotonicityNot monotonic
2025-02-26T22:40:33.475817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.1909 3
 
< 0.1%
2.1605 3
 
< 0.1%
-6.0564 3
 
< 0.1%
-2.7484 3
 
< 0.1%
6.8174 3
 
< 0.1%
-4.1616 3
 
< 0.1%
-1.1666 3
 
< 0.1%
1.7483 3
 
< 0.1%
-2.9544 3
 
< 0.1%
-1.3305 3
 
< 0.1%
Other values (9619) 9970
99.7%
ValueCountFrequency (%)
-13.6296 1
< 0.1%
-12.5502 1
< 0.1%
-12.4555 1
< 0.1%
-12.3014 1
< 0.1%
-12.1335 1
< 0.1%
ValueCountFrequency (%)
8.5849 1
< 0.1%
8.4389 1
< 0.1%
8.4383 1
< 0.1%
8.4125 1
< 0.1%
8.409 1
< 0.1%

var_2
Real number (ℝ)

Distinct9464
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.708012
Minimum3.0355
Maximum18.1598
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:33.848675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.0355
5-th percentile6.729195
Q18.731975
median10.59735
Q312.47395
95-th percentile15.28843
Maximum18.1598
Range15.1243
Interquartile range (IQR)3.741975

Descriptive statistics

Standard deviation2.621244984
Coefficient of variation (CV)0.2447928695
Kurtosis-0.3144786651
Mean10.708012
Median Absolute Deviation (MAD)1.8708
Skewness0.2630596746
Sum107080.12
Variance6.870925267
MonotonicityNot monotonic
2025-02-26T22:40:34.271935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2386 4
 
< 0.1%
11.5895 3
 
< 0.1%
9.8792 3
 
< 0.1%
8.6004 3
 
< 0.1%
10.3867 3
 
< 0.1%
8.2838 3
 
< 0.1%
8.898 3
 
< 0.1%
12.601 3
 
< 0.1%
11.8194 3
 
< 0.1%
8.7537 3
 
< 0.1%
Other values (9454) 9969
99.7%
ValueCountFrequency (%)
3.0355 1
< 0.1%
3.612 1
< 0.1%
3.8169 1
< 0.1%
3.9206 1
< 0.1%
3.9208 1
< 0.1%
ValueCountFrequency (%)
18.1598 1
< 0.1%
18.0852 1
< 0.1%
18.0838 1
< 0.1%
18.0689 1
< 0.1%
18.0655 1
< 0.1%

var_3
Real number (ℝ)

Distinct9374
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8248269
Minimum1.2769
Maximum13.0983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:34.694196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.2769
5-th percentile3.48473
Q15.310225
median6.86425
Q38.3268
95-th percentile10.098625
Maximum13.0983
Range11.8214
Interquartile range (IQR)3.016575

Descriptive statistics

Standard deviation2.031301985
Coefficient of variation (CV)0.2976342133
Kurtosis-0.5718244428
Mean6.8248269
Median Absolute Deviation (MAD)1.511
Skewness-0.02541638033
Sum68248.269
Variance4.126187754
MonotonicityNot monotonic
2025-02-26T22:40:35.102803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.7713 3
 
< 0.1%
6.396 3
 
< 0.1%
5.4994 3
 
< 0.1%
8.5247 3
 
< 0.1%
3.6664 3
 
< 0.1%
8.0415 3
 
< 0.1%
6.6679 3
 
< 0.1%
7.6002 3
 
< 0.1%
7.6043 3
 
< 0.1%
7.6466 3
 
< 0.1%
Other values (9364) 9970
99.7%
ValueCountFrequency (%)
1.2769 1
< 0.1%
1.3669 1
< 0.1%
1.4174 1
< 0.1%
1.5211 1
< 0.1%
1.5465 1
< 0.1%
ValueCountFrequency (%)
13.0983 1
< 0.1%
12.9773 1
< 0.1%
12.6243 1
< 0.1%
12.5587 1
< 0.1%
12.4351 1
< 0.1%

var_4
Real number (ℝ)

Distinct9170
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.10053031
Minimum6.1972
Maximum16.0448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:35.506351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.1972
5-th percentile8.45232
Q19.908675
median11.1028
Q312.297725
95-th percentile13.817765
Maximum16.0448
Range9.8476
Interquartile range (IQR)2.38905

Descriptive statistics

Standard deviation1.623919146
Coefficient of variation (CV)0.1462920329
Kurtosis-0.5558522677
Mean11.10053031
Median Absolute Deviation (MAD)1.1949
Skewness-0.01812851003
Sum111005.3031
Variance2.637113392
MonotonicityNot monotonic
2025-02-26T22:40:35.927534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.9044 4
 
< 0.1%
9.2365 4
 
< 0.1%
10.3526 3
 
< 0.1%
11.5011 3
 
< 0.1%
11.2833 3
 
< 0.1%
9.1329 3
 
< 0.1%
10.7509 3
 
< 0.1%
11.4206 3
 
< 0.1%
10.2817 3
 
< 0.1%
12.3204 3
 
< 0.1%
Other values (9160) 9968
99.7%
ValueCountFrequency (%)
6.1972 1
< 0.1%
6.3899 1
< 0.1%
6.4362 1
< 0.1%
6.4546 1
< 0.1%
6.4908 1
< 0.1%
ValueCountFrequency (%)
16.0448 1
< 0.1%
15.8433 1
< 0.1%
15.3223 1
< 0.1%
15.2739 1
< 0.1%
15.2252 1
< 0.1%

var_5
Real number (ℝ)

Distinct9807
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.07516155
Minimum-29.0133
Maximum16.7867
Zeros1
Zeros (%)< 0.1%
Negative7097
Negative (%)71.0%
Memory size156.2 KiB
2025-02-26T22:40:36.330858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-29.0133
5-th percentile-17.69578
Q1-11.26975
median-4.81735
Q30.9155
95-th percentile7.28448
Maximum16.7867
Range45.8
Interquartile range (IQR)12.18525

Descriptive statistics

Standard deviation7.828435319
Coefficient of variation (CV)-1.54249973
Kurtosis-0.693001926
Mean-5.07516155
Median Absolute Deviation (MAD)6.0604
Skewness-0.001313228487
Sum-50751.6155
Variance61.28439954
MonotonicityNot monotonic
2025-02-26T22:40:36.787262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.4121 4
 
< 0.1%
0.2191 3
 
< 0.1%
0.5206 3
 
< 0.1%
-0.626 3
 
< 0.1%
1.2922 2
 
< 0.1%
-1.9532 2
 
< 0.1%
3.9141 2
 
< 0.1%
-7.5491 2
 
< 0.1%
-6.0266 2
 
< 0.1%
-15.9909 2
 
< 0.1%
Other values (9797) 9975
99.8%
ValueCountFrequency (%)
-29.0133 1
< 0.1%
-27.0263 1
< 0.1%
-26.1247 1
< 0.1%
-25.7933 1
< 0.1%
-25.4771 1
< 0.1%
ValueCountFrequency (%)
16.7867 1
< 0.1%
16.1977 1
< 0.1%
15.5778 1
< 0.1%
15.2061 1
< 0.1%
15.1413 1
< 0.1%

var_6
Real number (ℝ)

Distinct8599
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.42263999
Minimum2.7122
Maximum8.0719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:37.249318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.7122
5-th percentile4.06518
Q14.78935
median5.4042
Q36.0102
95-th percentile6.914955
Maximum8.0719
Range5.3597
Interquartile range (IQR)1.22085

Descriptive statistics

Standard deviation0.8657697712
Coefficient of variation (CV)0.1596583533
Kurtosis-0.3552278944
Mean5.42263999
Median Absolute Deviation (MAD)0.61155
Skewness0.1317746497
Sum54226.3999
Variance0.7495572967
MonotonicityNot monotonic
2025-02-26T22:40:37.724201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.1074 5
 
0.1%
5.1103 5
 
0.1%
5.8177 4
 
< 0.1%
4.9807 4
 
< 0.1%
5.555 4
 
< 0.1%
5.1752 4
 
< 0.1%
5.5363 4
 
< 0.1%
6.1472 4
 
< 0.1%
6.1278 4
 
< 0.1%
4.9723 4
 
< 0.1%
Other values (8589) 9958
99.6%
ValueCountFrequency (%)
2.7122 1
< 0.1%
2.8334 1
< 0.1%
2.8527 1
< 0.1%
2.8607 1
< 0.1%
2.893 1
< 0.1%
ValueCountFrequency (%)
8.0719 1
< 0.1%
8.0629 1
< 0.1%
8.015 1
< 0.1%
7.9756 1
< 0.1%
7.9054 1
< 0.1%

var_7
Real number (ℝ)

Distinct9656
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.56824405
Minimum6.889
Maximum26.1846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:38.182910image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.889
5-th percentile11.06108
Q113.953225
median16.4716
Q319.11945
95-th percentile22.279635
Maximum26.1846
Range19.2956
Interquartile range (IQR)5.166225

Descriptive statistics

Standard deviation3.431658674
Coefficient of variation (CV)0.2071226537
Kurtosis-0.666227016
Mean16.56824405
Median Absolute Deviation (MAD)2.5809
Skewness0.0853176642
Sum165682.4405
Variance11.77628126
MonotonicityNot monotonic
2025-02-26T22:40:38.621411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.6016 3
 
< 0.1%
16.9295 3
 
< 0.1%
10.0061 3
 
< 0.1%
16.0424 3
 
< 0.1%
12.3198 3
 
< 0.1%
9.99 3
 
< 0.1%
15.8532 3
 
< 0.1%
17.2348 3
 
< 0.1%
13.7641 3
 
< 0.1%
15.0445 2
 
< 0.1%
Other values (9646) 9971
99.7%
ValueCountFrequency (%)
6.889 1
< 0.1%
6.9223 1
< 0.1%
7.1017 1
< 0.1%
7.577 1
< 0.1%
7.8171 1
< 0.1%
ValueCountFrequency (%)
26.1846 1
< 0.1%
26.0225 1
< 0.1%
25.9322 1
< 0.1%
25.7981 1
< 0.1%
25.7536 1
< 0.1%

var_8
Real number (ℝ)

Distinct9575
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31001622
Minimum-9.7258
Maximum8.9256
Zeros0
Zeros (%)0.0%
Negative4590
Negative (%)45.9%
Memory size156.2 KiB
2025-02-26T22:40:39.056215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.7258
5-th percentile-5.205405
Q1-2.274075
median0.45855
Q32.9775
95-th percentile5.46232
Maximum8.9256
Range18.6514
Interquartile range (IQR)5.251575

Descriptive statistics

Standard deviation3.331338757
Coefficient of variation (CV)10.74569181
Kurtosis-0.8286293213
Mean0.31001622
Median Absolute Deviation (MAD)2.61685
Skewness-0.117869131
Sum3100.1622
Variance11.09781791
MonotonicityNot monotonic
2025-02-26T22:40:39.494041image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.365 3
 
< 0.1%
1.7164 3
 
< 0.1%
3.1655 3
 
< 0.1%
1.3632 3
 
< 0.1%
-2.881 3
 
< 0.1%
3.5926 3
 
< 0.1%
0.7112 3
 
< 0.1%
3.7226 3
 
< 0.1%
0.0766 3
 
< 0.1%
-2.7878 3
 
< 0.1%
Other values (9565) 9970
99.7%
ValueCountFrequency (%)
-9.7258 1
< 0.1%
-8.5637 1
< 0.1%
-8.4244 1
< 0.1%
-8.3084 1
< 0.1%
-8.2986 1
< 0.1%
ValueCountFrequency (%)
8.9256 1
< 0.1%
8.3391 1
< 0.1%
8.1561 1
< 0.1%
8.1414 1
< 0.1%
7.8887 1
< 0.1%

var_9
Real number (ℝ)

Distinct8912
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.56413358
Minimum4.268
Maximum10.5879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:39.983364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.268
5-th percentile5.49797
Q16.60895
median7.6323
Q38.6009
95-th percentile9.420845
Maximum10.5879
Range6.3199
Interquartile range (IQR)1.99195

Descriptive statistics

Standard deviation1.23872772
Coefficient of variation (CV)0.1637633322
Kurtosis-0.7523657737
Mean7.56413358
Median Absolute Deviation (MAD)0.99385
Skewness-0.1851771671
Sum75641.3358
Variance1.534446365
MonotonicityNot monotonic
2025-02-26T22:40:40.476722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.6648 4
 
< 0.1%
8.7326 4
 
< 0.1%
7.7945 4
 
< 0.1%
7.9939 4
 
< 0.1%
6.6179 4
 
< 0.1%
7.9684 4
 
< 0.1%
7.7371 4
 
< 0.1%
7.9921 3
 
< 0.1%
8.9609 3
 
< 0.1%
6.237 3
 
< 0.1%
Other values (8902) 9963
99.6%
ValueCountFrequency (%)
4.268 1
< 0.1%
4.3024 1
< 0.1%
4.3165 1
< 0.1%
4.3447 1
< 0.1%
4.3492 1
< 0.1%
ValueCountFrequency (%)
10.5879 1
< 0.1%
10.55 1
< 0.1%
10.5005 1
< 0.1%
10.485 1
< 0.1%
10.4312 1
< 0.1%

var_10
Real number (ℝ)

Distinct9776
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38259957
Minimum-17.731
Maximum17.6872
Zeros0
Zeros (%)0.0%
Negative4709
Negative (%)47.1%
Memory size156.2 KiB
2025-02-26T22:40:40.884095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-17.731
5-th percentile-8.59675
Q1-3.542025
median0.4322
Q34.260875
95-th percentile9.42628
Maximum17.6872
Range35.4182
Interquartile range (IQR)7.8029

Descriptive statistics

Standard deviation5.449375722
Coefficient of variation (CV)14.24302626
Kurtosis-0.4621885006
Mean0.38259957
Median Absolute Deviation (MAD)3.8855
Skewness-0.05108907941
Sum3825.9957
Variance29.69569576
MonotonicityNot monotonic
2025-02-26T22:40:41.302721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8951 3
 
< 0.1%
1.7146 3
 
< 0.1%
1.2843 3
 
< 0.1%
-1.9659 3
 
< 0.1%
-4.601 2
 
< 0.1%
-1.1251 2
 
< 0.1%
-0.5995 2
 
< 0.1%
-0.545 2
 
< 0.1%
11.9951 2
 
< 0.1%
-0.0646 2
 
< 0.1%
Other values (9766) 9976
99.8%
ValueCountFrequency (%)
-17.731 1
< 0.1%
-17.1074 1
< 0.1%
-16.4704 1
< 0.1%
-16.3177 1
< 0.1%
-15.4047 1
< 0.1%
ValueCountFrequency (%)
17.6872 1
< 0.1%
17.1544 1
< 0.1%
15.5903 1
< 0.1%
15.2584 1
< 0.1%
14.6895 1
< 0.1%

var_11
Real number (ℝ)

Distinct9766
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.22694444
Minimum-26.095
Maximum14.6272
Zeros0
Zeros (%)0.0%
Negative7005
Negative (%)70.0%
Memory size156.2 KiB
2025-02-26T22:40:41.719043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-26.095
5-th percentile-12.832515
Q1-7.4595
median-3.3623
Q30.870475
95-th percentile6.93705
Maximum14.6272
Range40.7222
Interquartile range (IQR)8.329975

Descriptive statistics

Standard deviation5.976306156
Coefficient of variation (CV)-1.852001566
Kurtosis-0.2899396469
Mean-3.22694444
Median Absolute Deviation (MAD)4.17325
Skewness0.0721349615
Sum-32269.4444
Variance35.71623527
MonotonicityNot monotonic
2025-02-26T22:40:42.207736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.483 3
 
< 0.1%
-2.0147 3
 
< 0.1%
-4.6821 3
 
< 0.1%
-0.3384 2
 
< 0.1%
-3.7921 2
 
< 0.1%
7.2947 2
 
< 0.1%
-2.1245 2
 
< 0.1%
2.2257 2
 
< 0.1%
-3.9571 2
 
< 0.1%
-2.2262 2
 
< 0.1%
Other values (9756) 9977
99.8%
ValueCountFrequency (%)
-26.095 1
< 0.1%
-22.0925 1
< 0.1%
-21.9993 1
< 0.1%
-21.7741 1
< 0.1%
-21.559 1
< 0.1%
ValueCountFrequency (%)
14.6272 1
< 0.1%
14.5643 1
< 0.1%
14.4445 1
< 0.1%
14.3598 1
< 0.1%
14.1227 1
< 0.1%

var_12
Real number (ℝ)

Distinct5438
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.02677953
Minimum13.4346
Maximum14.5668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:42.650562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13.4346
5-th percentile13.6997
Q113.895675
median14.0284
Q314.1663
95-th percentile14.3317
Maximum14.5668
Range1.1322
Interquartile range (IQR)0.270625

Descriptive statistics

Standard deviation0.1913706198
Coefficient of variation (CV)0.01364323289
Kurtosis-0.3656437586
Mean14.02677953
Median Absolute Deviation (MAD)0.1352
Skewness-0.1336073828
Sum140267.7953
Variance0.03662271413
MonotonicityNot monotonic
2025-02-26T22:40:43.089621image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.5545 11
 
0.1%
13.5542 8
 
0.1%
14.0357 8
 
0.1%
13.943 8
 
0.1%
14.1257 7
 
0.1%
14.0524 7
 
0.1%
13.9476 6
 
0.1%
14.0459 6
 
0.1%
13.9377 6
 
0.1%
13.9769 6
 
0.1%
Other values (5428) 9927
99.3%
ValueCountFrequency (%)
13.4346 1
 
< 0.1%
13.4952 1
 
< 0.1%
13.5492 1
 
< 0.1%
13.5534 1
 
< 0.1%
13.5535 3
< 0.1%
ValueCountFrequency (%)
14.5668 1
< 0.1%
14.562 1
< 0.1%
14.5546 1
< 0.1%
14.545 1
< 0.1%
14.5386 1
< 0.1%

var_13
Real number (ℝ)

Distinct9679
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.60003894
Minimum-4.0168
Maximum21.0634
Zeros0
Zeros (%)0.0%
Negative320
Negative (%)3.2%
Memory size156.2 KiB
2025-02-26T22:40:43.528231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.0168
5-th percentile0.768985
Q15.14905
median8.7157
Q312.3404
95-th percentile15.652605
Maximum21.0634
Range25.0802
Interquartile range (IQR)7.19135

Descriptive statistics

Standard deviation4.64922604
Coefficient of variation (CV)0.5406052313
Kurtosis-0.6697348313
Mean8.60003894
Median Absolute Deviation (MAD)3.589
Skewness-0.1895326114
Sum86000.3894
Variance21.61530277
MonotonicityNot monotonic
2025-02-26T22:40:43.953130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.4704 3
 
< 0.1%
14.9929 3
 
< 0.1%
14.61 3
 
< 0.1%
5.2686 3
 
< 0.1%
6.3268 3
 
< 0.1%
7.4146 3
 
< 0.1%
12.559 3
 
< 0.1%
13.3393 3
 
< 0.1%
6.3454 3
 
< 0.1%
4.3311 3
 
< 0.1%
Other values (9669) 9970
99.7%
ValueCountFrequency (%)
-4.0168 1
< 0.1%
-4.0039 1
< 0.1%
-3.782 1
< 0.1%
-3.7557 1
< 0.1%
-3.7178 1
< 0.1%
ValueCountFrequency (%)
21.0634 1
< 0.1%
20.6934 1
< 0.1%
20.5881 1
< 0.1%
20.5405 1
< 0.1%
20.2466 1
< 0.1%

var_14
Real number (ℝ)

Distinct9404
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.55624667
Minimum1.5824
Maximum14.6805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:44.367129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.5824
5-th percentile3.92389
Q15.807175
median7.53945
Q39.271
95-th percentile11.17852
Maximum14.6805
Range13.0981
Interquartile range (IQR)3.463825

Descriptive statistics

Standard deviation2.237864344
Coefficient of variation (CV)0.2961608377
Kurtosis-0.7621332834
Mean7.55624667
Median Absolute Deviation (MAD)1.73225
Skewness0.0215308527
Sum75562.4667
Variance5.008036821
MonotonicityNot monotonic
2025-02-26T22:40:44.799675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.9746 5
 
0.1%
5.8223 4
 
< 0.1%
9.5152 3
 
< 0.1%
6.0213 3
 
< 0.1%
9.2286 3
 
< 0.1%
8.3842 3
 
< 0.1%
7.6956 3
 
< 0.1%
9.0273 3
 
< 0.1%
7.5452 3
 
< 0.1%
9.3562 3
 
< 0.1%
Other values (9394) 9967
99.7%
ValueCountFrequency (%)
1.5824 1
< 0.1%
1.7016 1
< 0.1%
1.8349 1
< 0.1%
1.889 1
< 0.1%
2.0452 1
< 0.1%
ValueCountFrequency (%)
14.6805 1
< 0.1%
13.7354 1
< 0.1%
13.6761 1
< 0.1%
13.6136 1
< 0.1%
13.5739 1
< 0.1%

var_15
Real number (ℝ)

Distinct7368
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.57431185
Minimum13.3923
Maximum15.6711
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:45.203313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13.3923
5-th percentile13.91678
Q114.2693
median14.57485
Q314.87615
95-th percentile15.237345
Maximum15.6711
Range2.2788
Interquartile range (IQR)0.60685

Descriptive statistics

Standard deviation0.4069209509
Coefficient of variation (CV)0.02792042294
Kurtosis-0.572650136
Mean14.57431185
Median Absolute Deviation (MAD)0.3033
Skewness0.009811395586
Sum145743.1185
Variance0.1655846603
MonotonicityNot monotonic
2025-02-26T22:40:45.620236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.6502 6
 
0.1%
14.5152 6
 
0.1%
14.2331 6
 
0.1%
14.7979 6
 
0.1%
14.9794 6
 
0.1%
14.6931 5
 
0.1%
14.803 5
 
0.1%
15.0084 5
 
0.1%
14.1374 5
 
0.1%
14.3722 5
 
0.1%
Other values (7358) 9945
99.5%
ValueCountFrequency (%)
13.3923 1
< 0.1%
13.4112 1
< 0.1%
13.4758 1
< 0.1%
13.5063 1
< 0.1%
13.5079 1
< 0.1%
ValueCountFrequency (%)
15.6711 1
< 0.1%
15.6162 1
< 0.1%
15.6151 1
< 0.1%
15.6143 1
< 0.1%
15.6026 1
< 0.1%

var_16
Real number (ℝ)

Distinct9461
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.29704397
Minimum1.3071
Maximum16.7004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:46.013136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.3071
5-th percentile5.30429
Q17.4231
median9.20685
Q311.00705
95-th percentile13.79958
Maximum16.7004
Range15.3933
Interquartile range (IQR)3.58395

Descriptive statistics

Standard deviation2.574972766
Coefficient of variation (CV)0.2769668267
Kurtosis-0.3217907914
Mean9.29704397
Median Absolute Deviation (MAD)1.7897
Skewness0.1778746089
Sum92970.4397
Variance6.630484744
MonotonicityNot monotonic
2025-02-26T22:40:46.430384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0287 3
 
< 0.1%
9.1502 3
 
< 0.1%
9.9585 3
 
< 0.1%
10.2971 3
 
< 0.1%
10.0222 3
 
< 0.1%
11.0107 3
 
< 0.1%
8.1375 3
 
< 0.1%
8.3858 3
 
< 0.1%
10.4678 3
 
< 0.1%
6.1028 3
 
< 0.1%
Other values (9451) 9970
99.7%
ValueCountFrequency (%)
1.3071 1
< 0.1%
1.3699 1
< 0.1%
1.5757 1
< 0.1%
1.6014 1
< 0.1%
1.6754 1
< 0.1%
ValueCountFrequency (%)
16.7004 1
< 0.1%
16.5449 1
< 0.1%
16.2582 1
< 0.1%
16.1568 1
< 0.1%
16.1562 1
< 0.1%

var_17
Real number (ℝ)

Distinct9840
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.67740242
Minimum-28.372
Maximum19.0259
Zeros0
Zeros (%)0.0%
Negative7817
Negative (%)78.2%
Memory size156.2 KiB
2025-02-26T22:40:46.838582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-28.372
5-th percentile-16.809815
Q1-10.43175
median-5.73705
Q3-0.7562
95-th percentile5.299135
Maximum19.0259
Range47.3979
Interquartile range (IQR)9.67555

Descriptive statistics

Standard deviation6.739838052
Coefficient of variation (CV)-1.187134107
Kurtosis-0.4599993082
Mean-5.67740242
Median Absolute Deviation (MAD)4.85715
Skewness-0.04533063378
Sum-56774.0242
Variance45.42541696
MonotonicityNot monotonic
2025-02-26T22:40:47.275692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.2064 3
 
< 0.1%
-12.0788 3
 
< 0.1%
-15.7244 2
 
< 0.1%
-18.2403 2
 
< 0.1%
-4.0524 2
 
< 0.1%
-0.8316 2
 
< 0.1%
-0.9685 2
 
< 0.1%
-5.3261 2
 
< 0.1%
-9.0002 2
 
< 0.1%
-3.8041 2
 
< 0.1%
Other values (9830) 9978
99.8%
ValueCountFrequency (%)
-28.372 1
< 0.1%
-27.7269 1
< 0.1%
-26.2045 1
< 0.1%
-26.1488 1
< 0.1%
-25.9592 1
< 0.1%
ValueCountFrequency (%)
19.0259 1
< 0.1%
17.0953 1
< 0.1%
14.7247 1
< 0.1%
14.6835 1
< 0.1%
13.7865 1
< 0.1%

var_18
Real number (ℝ)

Distinct9786
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.23031977
Minimum-8.2397
Maximum37.5971
Zeros0
Zeros (%)0.0%
Negative136
Negative (%)1.4%
Memory size156.2 KiB
2025-02-26T22:40:47.691245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-8.2397
5-th percentile2.72993
Q19.164575
median15.27125
Q320.91
95-th percentile28.13158
Maximum37.5971
Range45.8368
Interquartile range (IQR)11.745425

Descriptive statistics

Standard deviation7.832641056
Coefficient of variation (CV)0.5142794881
Kurtosis-0.5918102825
Mean15.23031977
Median Absolute Deviation (MAD)5.85855
Skewness0.08692139317
Sum152303.1977
Variance61.35026591
MonotonicityNot monotonic
2025-02-26T22:40:48.094986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.342 3
 
< 0.1%
21.8585 3
 
< 0.1%
10.2731 2
 
< 0.1%
25.677 2
 
< 0.1%
12.3517 2
 
< 0.1%
12.7515 2
 
< 0.1%
1.7324 2
 
< 0.1%
20.1452 2
 
< 0.1%
14.9286 2
 
< 0.1%
3.475 2
 
< 0.1%
Other values (9776) 9978
99.8%
ValueCountFrequency (%)
-8.2397 1
< 0.1%
-5.7059 1
< 0.1%
-4.9319 1
< 0.1%
-4.5557 1
< 0.1%
-4.521 1
< 0.1%
ValueCountFrequency (%)
37.5971 1
< 0.1%
37.5046 1
< 0.1%
37.238 1
< 0.1%
37.1701 1
< 0.1%
36.9076 1
< 0.1%

var_19
Real number (ℝ)

Distinct9816
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5196729
Minimum-9.5565
Maximum33.7328
Zeros0
Zeros (%)0.0%
Negative579
Negative (%)5.8%
Memory size156.2 KiB
2025-02-26T22:40:48.500048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.5565
5-th percentile-0.41791
Q16.341175
median12.50015
Q318.506775
95-th percentile25.76314
Maximum33.7328
Range43.2893
Interquartile range (IQR)12.1656

Descriptive statistics

Standard deviation8.054744064
Coefficient of variation (CV)0.6433669736
Kurtosis-0.6383444541
Mean12.5196729
Median Absolute Deviation (MAD)6.08175
Skewness0.05880727804
Sum125196.729
Variance64.87890194
MonotonicityNot monotonic
2025-02-26T22:40:48.915797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6697 3
 
< 0.1%
15.0657 3
 
< 0.1%
19.0676 3
 
< 0.1%
14.862 3
 
< 0.1%
22.6558 3
 
< 0.1%
19.2253 2
 
< 0.1%
7.5768 2
 
< 0.1%
19.1442 2
 
< 0.1%
8.4077 2
 
< 0.1%
11.4483 2
 
< 0.1%
Other values (9806) 9975
99.8%
ValueCountFrequency (%)
-9.5565 1
< 0.1%
-8.6497 1
< 0.1%
-8.5496 1
< 0.1%
-8.4731 1
< 0.1%
-7.8617 1
< 0.1%
ValueCountFrequency (%)
33.7328 1
< 0.1%
33.4707 1
< 0.1%
33.2355 1
< 0.1%
33.1228 1
< 0.1%
32.956 1
< 0.1%

var_20
Real number (ℝ)

Distinct9756
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.14015331
Minimum-1.6301
Maximum30.3634
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)0.1%
Memory size156.2 KiB
2025-02-26T22:40:49.320312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6301
5-th percentile3.85468
Q18.454975
median13.0232
Q317.678275
95-th percentile22.70981
Maximum30.3634
Range31.9935
Interquartile range (IQR)9.2233

Descriptive statistics

Standard deviation5.856802511
Coefficient of variation (CV)0.445717974
Kurtosis-0.8118614482
Mean13.14015331
Median Absolute Deviation (MAD)4.61095
Skewness0.0827807683
Sum131401.5331
Variance34.30213565
MonotonicityNot monotonic
2025-02-26T22:40:49.757653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.501 3
 
< 0.1%
13.2034 3
 
< 0.1%
8.572 3
 
< 0.1%
8.3644 3
 
< 0.1%
7.8048 2
 
< 0.1%
8.3921 2
 
< 0.1%
11.148 2
 
< 0.1%
23.284 2
 
< 0.1%
17.6441 2
 
< 0.1%
11.8744 2
 
< 0.1%
Other values (9746) 9976
99.8%
ValueCountFrequency (%)
-1.6301 1
< 0.1%
-1.0362 1
< 0.1%
-0.942 1
< 0.1%
-0.8034 1
< 0.1%
-0.5302 1
< 0.1%
ValueCountFrequency (%)
30.3634 1
< 0.1%
29.8498 1
< 0.1%
28.9384 1
< 0.1%
28.9237 1
< 0.1%
28.8193 1
< 0.1%

var_21
Real number (ℝ)

Distinct9816
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.16856717
Minimum-8.0054
Maximum43.9521
Zeros0
Zeros (%)0.0%
Negative142
Negative (%)1.4%
Memory size156.2 KiB
2025-02-26T22:40:50.187053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-8.0054
5-th percentile3.314425
Q111.675075
median17.0424
Q322.93425
95-th percentile30.497305
Maximum43.9521
Range51.9575
Interquartile range (IQR)11.259175

Descriptive statistics

Standard deviation8.105122924
Coefficient of variation (CV)0.4720908183
Kurtosis-0.3349836402
Mean17.16856717
Median Absolute Deviation (MAD)5.61755
Skewness-0.01047030734
Sum171685.6717
Variance65.69301761
MonotonicityNot monotonic
2025-02-26T22:40:50.664173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.6043 3
 
< 0.1%
16.5796 3
 
< 0.1%
14.7299 2
 
< 0.1%
24.2284 2
 
< 0.1%
21.451 2
 
< 0.1%
14.9112 2
 
< 0.1%
20.291 2
 
< 0.1%
12.6997 2
 
< 0.1%
11.334 2
 
< 0.1%
13.9015 2
 
< 0.1%
Other values (9806) 9978
99.8%
ValueCountFrequency (%)
-8.0054 1
< 0.1%
-7.4056 1
< 0.1%
-5.9669 1
< 0.1%
-5.697 1
< 0.1%
-5.1549 1
< 0.1%
ValueCountFrequency (%)
43.9521 1
< 0.1%
43.4847 1
< 0.1%
42.273 1
< 0.1%
41.4052 1
< 0.1%
40.5728 1
< 0.1%

var_22
Real number (ℝ)

Distinct9528
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.34429787
Minimum-4.801
Maximum13.1224
Zeros0
Zeros (%)0.0%
Negative554
Negative (%)5.5%
Memory size156.2 KiB
2025-02-26T22:40:51.074183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.801
5-th percentile-0.11644
Q12.220675
median4.31045
Q36.3027
95-th percentile9.17124
Maximum13.1224
Range17.9234
Interquartile range (IQR)4.082025

Descriptive statistics

Standard deviation2.841331617
Coefficient of variation (CV)0.6540370163
Kurtosis-0.3114321833
Mean4.34429787
Median Absolute Deviation (MAD)2.03505
Skewness0.1690976496
Sum43442.9787
Variance8.073165358
MonotonicityNot monotonic
2025-02-26T22:40:51.521852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.9074 5
 
0.1%
1.5743 4
 
< 0.1%
4.6212 4
 
< 0.1%
-0.3312 3
 
< 0.1%
5.8423 3
 
< 0.1%
4.9784 3
 
< 0.1%
4.4376 3
 
< 0.1%
4.4144 3
 
< 0.1%
4.783 3
 
< 0.1%
4.4339 3
 
< 0.1%
Other values (9518) 9966
99.7%
ValueCountFrequency (%)
-4.801 1
< 0.1%
-4.6744 1
< 0.1%
-4.5353 1
< 0.1%
-3.8478 1
< 0.1%
-3.6604 1
< 0.1%
ValueCountFrequency (%)
13.1224 1
< 0.1%
13.0015 1
< 0.1%
12.9987 1
< 0.1%
12.9893 1
< 0.1%
12.9376 1
< 0.1%

var_23
Real number (ℝ)

Distinct7812
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.01290289
Minimum1.3303
Maximum4.5822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:51.920164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.3303
5-th percentile2.149985
Q12.624325
median3.0063
Q33.39665
95-th percentile3.87753
Maximum4.5822
Range3.2519
Interquartile range (IQR)0.772325

Descriptive statistics

Standard deviation0.5250902296
Coefficient of variation (CV)0.1742805025
Kurtosis-0.5533886754
Mean3.01290289
Median Absolute Deviation (MAD)0.38695
Skewness0.05007992502
Sum30129.0289
Variance0.2757197492
MonotonicityNot monotonic
2025-02-26T22:40:54.682736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6791 6
 
0.1%
3.2615 6
 
0.1%
2.8129 5
 
0.1%
3.252 5
 
0.1%
3.418 5
 
0.1%
2.8929 5
 
0.1%
2.7252 5
 
0.1%
2.7264 5
 
0.1%
2.7959 4
 
< 0.1%
2.8783 4
 
< 0.1%
Other values (7802) 9950
99.5%
ValueCountFrequency (%)
1.3303 1
< 0.1%
1.6451 1
< 0.1%
1.6562 1
< 0.1%
1.6767 1
< 0.1%
1.6789 1
< 0.1%
ValueCountFrequency (%)
4.5822 1
< 0.1%
4.5529 1
< 0.1%
4.5236 1
< 0.1%
4.5088 1
< 0.1%
4.4934 1
< 0.1%

var_24
Real number (ℝ)

Distinct9630
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.6213341
Minimum-0.0861
Maximum21.8967
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)< 0.1%
Memory size156.2 KiB
2025-02-26T22:40:55.132321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.0861
5-th percentile4.88878
Q17.681475
median10.4423
Q313.472325
95-th percentile16.93471
Maximum21.8967
Range21.9828
Interquartile range (IQR)5.79085

Descriptive statistics

Standard deviation3.765401365
Coefficient of variation (CV)0.3545130329
Kurtosis-0.7351066109
Mean10.6213341
Median Absolute Deviation (MAD)2.89295
Skewness0.1394717511
Sum106213.341
Variance14.17824744
MonotonicityNot monotonic
2025-02-26T22:40:55.569801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.534 3
 
< 0.1%
12.9102 3
 
< 0.1%
15.0179 3
 
< 0.1%
8.6209 3
 
< 0.1%
7.3722 2
 
< 0.1%
10.5822 2
 
< 0.1%
13.1896 2
 
< 0.1%
13.0638 2
 
< 0.1%
11.9461 2
 
< 0.1%
4.3151 2
 
< 0.1%
Other values (9620) 9976
99.8%
ValueCountFrequency (%)
-0.0861 1
< 0.1%
0.324 1
< 0.1%
0.6906 1
< 0.1%
1.0225 1
< 0.1%
1.1502 1
< 0.1%
ValueCountFrequency (%)
21.8967 1
< 0.1%
21.2125 1
< 0.1%
20.4615 1
< 0.1%
20.4032 1
< 0.1%
20.3844 1
< 0.1%

var_25
Real number (ℝ)

Distinct6587
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.66983153
Minimum12.8375
Maximum14.5482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:55.966859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum12.8375
5-th percentile13.22614
Q113.455675
median13.66395
Q313.865325
95-th percentile14.159205
Maximum14.5482
Range1.7107
Interquartile range (IQR)0.40965

Descriptive statistics

Standard deviation0.2853428208
Coefficient of variation (CV)0.0208739091
Kurtosis-0.3211768908
Mean13.66983153
Median Absolute Deviation (MAD)0.2048
Skewness0.2032542015
Sum136698.3153
Variance0.08142052537
MonotonicityNot monotonic
2025-02-26T22:40:56.404769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.8831 7
 
0.1%
13.3003 7
 
0.1%
13.4594 6
 
0.1%
13.7502 6
 
0.1%
13.6598 6
 
0.1%
13.5451 6
 
0.1%
13.67 6
 
0.1%
13.6542 6
 
0.1%
13.5453 6
 
0.1%
13.5315 6
 
0.1%
Other values (6577) 9938
99.4%
ValueCountFrequency (%)
12.8375 1
< 0.1%
12.8415 1
< 0.1%
12.8979 1
< 0.1%
12.9019 1
< 0.1%
12.9321 1
< 0.1%
ValueCountFrequency (%)
14.5482 1
< 0.1%
14.5348 1
< 0.1%
14.5287 1
< 0.1%
14.5203 1
< 0.1%
14.5194 1
< 0.1%

var_26
Real number (ℝ)

Distinct9753
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.12348055
Minimum-22.2363
Maximum13.6687
Zeros0
Zeros (%)0.0%
Negative7574
Negative (%)75.7%
Memory size156.2 KiB
2025-02-26T22:40:56.845517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-22.2363
5-th percentile-13.504605
Q1-8.399225
median-4.2389
Q3-0.12685
95-th percentile6.19731
Maximum13.6687
Range35.905
Interquartile range (IQR)8.272375

Descriptive statistics

Standard deviation5.941849305
Coefficient of variation (CV)-1.440979103
Kurtosis-0.2864698461
Mean-4.12348055
Median Absolute Deviation (MAD)4.1325
Skewness0.1757549597
Sum-41234.8055
Variance35.30557316
MonotonicityNot monotonic
2025-02-26T22:40:57.288422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10.6597 3
 
< 0.1%
-2.7966 3
 
< 0.1%
-0.3476 3
 
< 0.1%
-7.9482 3
 
< 0.1%
-4.2839 3
 
< 0.1%
-3.7726 3
 
< 0.1%
-10.0055 3
 
< 0.1%
-5.0845 2
 
< 0.1%
-3.6902 2
 
< 0.1%
3.066 2
 
< 0.1%
Other values (9743) 9973
99.7%
ValueCountFrequency (%)
-22.2363 1
< 0.1%
-21.9392 1
< 0.1%
-21.2708 1
< 0.1%
-21.0957 1
< 0.1%
-20.7598 1
< 0.1%
ValueCountFrequency (%)
13.6687 1
< 0.1%
13.3163 1
< 0.1%
12.5011 1
< 0.1%
12.3054 1
< 0.1%
12.1134 1
< 0.1%

var_27
Real number (ℝ)

Distinct9136
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.11281982
Minimum-5.6522
Maximum2.8753
Zeros1
Zeros (%)< 0.1%
Negative7405
Negative (%)74.1%
Memory size156.2 KiB
2025-02-26T22:40:57.746434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.6522
5-th percentile-3.58694
Q1-2.311175
median-1.08745
Q30.048475
95-th percentile1.32362
Maximum2.8753
Range8.5275
Interquartile range (IQR)2.35965

Descriptive statistics

Standard deviation1.532057633
Coefficient of variation (CV)-1.376734675
Kurtosis-0.6838498405
Mean-1.11281982
Median Absolute Deviation (MAD)1.18015
Skewness-0.0003990914221
Sum-11128.1982
Variance2.347200591
MonotonicityNot monotonic
2025-02-26T22:40:58.230688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.5378 4
 
< 0.1%
-0.478 4
 
< 0.1%
-1.9117 4
 
< 0.1%
-0.0373 4
 
< 0.1%
-0.6883 4
 
< 0.1%
0.2961 3
 
< 0.1%
-2.2657 3
 
< 0.1%
-2.344 3
 
< 0.1%
-0.4088 3
 
< 0.1%
-0.6304 3
 
< 0.1%
Other values (9126) 9965
99.7%
ValueCountFrequency (%)
-5.6522 1
< 0.1%
-5.4534 1
< 0.1%
-5.4472 1
< 0.1%
-5.3856 1
< 0.1%
-5.2908 1
< 0.1%
ValueCountFrequency (%)
2.8753 1
< 0.1%
2.6214 1
< 0.1%
2.6176 1
< 0.1%
2.6002 1
< 0.1%
2.5676 1
< 0.1%

var_28
Real number (ℝ)

Distinct8436
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.53115403
Minimum3.3435
Maximum7.8825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:40:58.674546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.3435
5-th percentile4.20567
Q14.9945
median5.53705
Q36.085275
95-th percentile6.79246
Maximum7.8825
Range4.539
Interquartile range (IQR)1.090775

Descriptive statistics

Standard deviation0.7817166592
Coefficient of variation (CV)0.1413297578
Kurtosis-0.3952241973
Mean5.53115403
Median Absolute Deviation (MAD)0.5448
Skewness-0.0502839658
Sum55311.5403
Variance0.6110809352
MonotonicityNot monotonic
2025-02-26T22:40:59.134772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.6116 5
 
0.1%
5.9293 4
 
< 0.1%
5.0139 4
 
< 0.1%
5.0014 4
 
< 0.1%
5.8296 4
 
< 0.1%
6.1898 4
 
< 0.1%
5.9994 4
 
< 0.1%
6.298 4
 
< 0.1%
4.9205 4
 
< 0.1%
5.0633 4
 
< 0.1%
Other values (8426) 9959
99.6%
ValueCountFrequency (%)
3.3435 1
< 0.1%
3.4148 1
< 0.1%
3.4399 1
< 0.1%
3.4483 1
< 0.1%
3.4727 1
< 0.1%
ValueCountFrequency (%)
7.8825 1
< 0.1%
7.8276 1
< 0.1%
7.8118 1
< 0.1%
7.8036 1
< 0.1%
7.7891 1
< 0.1%

var_29
Real number (ℝ)

Distinct9500
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.03068261
Minimum-2.7272
Maximum12.4999
Zeros0
Zeros (%)0.0%
Negative180
Negative (%)1.8%
Memory size156.2 KiB
2025-02-26T22:40:59.602009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.7272
5-th percentile0.91356
Q13.160675
median4.9463
Q36.79075
95-th percentile9.57751
Maximum12.4999
Range15.2271
Interquartile range (IQR)3.630075

Descriptive statistics

Standard deviation2.623992129
Coefficient of variation (CV)0.5215976304
Kurtosis-0.2656800446
Mean5.03068261
Median Absolute Deviation (MAD)1.81945
Skewness0.1912944526
Sum50306.8261
Variance6.885334691
MonotonicityNot monotonic
2025-02-26T22:41:00.102175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.991 3
 
< 0.1%
5.4966 3
 
< 0.1%
6.4289 3
 
< 0.1%
3.7414 3
 
< 0.1%
5.0936 3
 
< 0.1%
5.8155 3
 
< 0.1%
4.8586 3
 
< 0.1%
6.1434 3
 
< 0.1%
4.6544 3
 
< 0.1%
7.1788 3
 
< 0.1%
Other values (9490) 9970
99.7%
ValueCountFrequency (%)
-2.7272 1
< 0.1%
-2.7266 1
< 0.1%
-2.6439 1
< 0.1%
-2.5548 1
< 0.1%
-2.5395 1
< 0.1%
ValueCountFrequency (%)
12.4999 1
< 0.1%
12.2574 1
< 0.1%
12.1918 1
< 0.1%
12.1383 1
< 0.1%
12.1066 1
< 0.1%

var_30
Real number (ℝ)

Distinct9853
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.78956762
Minimum-31.3922
Maximum15.1345
Zeros0
Zeros (%)0.0%
Negative8110
Negative (%)81.1%
Memory size156.2 KiB
2025-02-26T22:41:00.628112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-31.3922
5-th percentile-20.796015
Q1-13.920375
median-7.55365
Q3-1.493025
95-th percentile4.73329
Maximum15.1345
Range46.5267
Interquartile range (IQR)12.42735

Descriptive statistics

Standard deviation7.953199411
Coefficient of variation (CV)-1.021006531
Kurtosis-0.7374393728
Mean-7.78956762
Median Absolute Deviation (MAD)6.2059
Skewness-0.1070159683
Sum-77895.6762
Variance63.25338087
MonotonicityNot monotonic
2025-02-26T22:41:01.098900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.6933 3
 
< 0.1%
-21.5797 3
 
< 0.1%
-14.3523 3
 
< 0.1%
-6.4491 3
 
< 0.1%
-15.5027 3
 
< 0.1%
-14.3909 2
 
< 0.1%
-1.0916 2
 
< 0.1%
-11.978 2
 
< 0.1%
-4.3009 2
 
< 0.1%
-1.2113 2
 
< 0.1%
Other values (9843) 9975
99.8%
ValueCountFrequency (%)
-31.3922 1
< 0.1%
-31.1956 1
< 0.1%
-30.6846 1
< 0.1%
-30.5726 1
< 0.1%
-30.0473 1
< 0.1%
ValueCountFrequency (%)
15.1345 1
< 0.1%
12.9367 1
< 0.1%
11.7181 1
< 0.1%
11.6171 1
< 0.1%
11.5143 1
< 0.1%

var_31
Real number (ℝ)

Distinct9373
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.39973415
Minimum3.3987
Maximum17.3552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:01.544135image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.3987
5-th percentile6.88508
Q18.90225
median10.34925
Q311.89225
95-th percentile14.018615
Maximum17.3552
Range13.9565
Interquartile range (IQR)2.99

Descriptive statistics

Standard deviation2.161276217
Coefficient of variation (CV)0.2078203333
Kurtosis-0.2665784572
Mean10.39973415
Median Absolute Deviation (MAD)1.4968
Skewness0.08033777643
Sum103997.3415
Variance4.671114886
MonotonicityNot monotonic
2025-02-26T22:41:01.936898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0709 5
 
0.1%
7.1993 3
 
< 0.1%
11.6956 3
 
< 0.1%
11.3818 3
 
< 0.1%
9.6702 3
 
< 0.1%
9.7132 3
 
< 0.1%
10.1653 3
 
< 0.1%
11.7596 3
 
< 0.1%
11.5919 3
 
< 0.1%
7.3475 3
 
< 0.1%
Other values (9363) 9968
99.7%
ValueCountFrequency (%)
3.3987 1
< 0.1%
3.4686 1
< 0.1%
3.5061 1
< 0.1%
3.584 1
< 0.1%
3.8053 1
< 0.1%
ValueCountFrequency (%)
17.3552 1
< 0.1%
17.0661 1
< 0.1%
17.0199 1
< 0.1%
17.0143 1
< 0.1%
16.9851 1
< 0.1%

var_32
Real number (ℝ)

Distinct9499
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.53371476
Minimum-7.3692
Maximum6.7074
Zeros0
Zeros (%)0.0%
Negative5690
Negative (%)56.9%
Memory size156.2 KiB
2025-02-26T22:41:02.335833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.3692
5-th percentile-4.6924
Q1-2.5215
median-0.54965
Q31.451
95-th percentile3.655515
Maximum6.7074
Range14.0766
Interquartile range (IQR)3.9725

Descriptive statistics

Standard deviation2.596841144
Coefficient of variation (CV)-4.865597392
Kurtosis-0.7114625224
Mean-0.53371476
Median Absolute Deviation (MAD)1.98855
Skewness0.02270692275
Sum-5337.1476
Variance6.743583929
MonotonicityNot monotonic
2025-02-26T22:41:02.722624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4194 3
 
< 0.1%
0.1301 3
 
< 0.1%
1.7272 3
 
< 0.1%
1.2765 3
 
< 0.1%
-0.149 3
 
< 0.1%
1.0666 3
 
< 0.1%
0.1988 3
 
< 0.1%
-1.6352 3
 
< 0.1%
-2.1552 3
 
< 0.1%
-3.4735 3
 
< 0.1%
Other values (9489) 9970
99.7%
ValueCountFrequency (%)
-7.3692 1
< 0.1%
-7.3372 1
< 0.1%
-7.1969 1
< 0.1%
-7.1934 1
< 0.1%
-7.1807 1
< 0.1%
ValueCountFrequency (%)
6.7074 1
< 0.1%
6.3521 1
< 0.1%
6.3401 1
< 0.1%
5.9737 1
< 0.1%
5.9337 1
< 0.1%

var_33
Real number (ℝ)

Distinct9649
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.79021188
Minimum2.5372
Maximum26.6298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:03.110664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.5372
5-th percentile8.064675
Q111.41925
median14.6449
Q318.17585
95-th percentile21.95065
Maximum26.6298
Range24.0926
Interquartile range (IQR)6.7566

Descriptive statistics

Standard deviation4.334788339
Coefficient of variation (CV)0.2930849385
Kurtosis-0.7116221588
Mean14.79021188
Median Absolute Deviation (MAD)3.38015
Skewness0.08514895872
Sum147902.1188
Variance18.79038994
MonotonicityNot monotonic
2025-02-26T22:41:03.500700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4538 3
 
< 0.1%
13.1075 3
 
< 0.1%
11.6199 3
 
< 0.1%
15.1497 3
 
< 0.1%
15.5248 3
 
< 0.1%
20.2274 3
 
< 0.1%
13.7856 3
 
< 0.1%
13.2087 3
 
< 0.1%
19.6952 3
 
< 0.1%
19.6328 2
 
< 0.1%
Other values (9639) 9971
99.7%
ValueCountFrequency (%)
2.5372 1
< 0.1%
3.6495 1
< 0.1%
3.84 1
< 0.1%
3.8414 1
< 0.1%
4.0382 1
< 0.1%
ValueCountFrequency (%)
26.6298 1
< 0.1%
26.4542 1
< 0.1%
26.41 1
< 0.1%
26.3125 1
< 0.1%
26.2213 1
< 0.1%

var_34
Real number (ℝ)

Distinct7893
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.43420887
Minimum9.9514
Maximum13.1603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:03.888248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9.9514
5-th percentile10.5419
Q111.0326
median11.4328
Q311.844825
95-th percentile12.310605
Maximum13.1603
Range3.2089
Interquartile range (IQR)0.812225

Descriptive statistics

Standard deviation0.5456510224
Coefficient of variation (CV)0.04772092487
Kurtosis-0.6071924178
Mean11.43420887
Median Absolute Deviation (MAD)0.40615
Skewness-0.01210751917
Sum114342.0887
Variance0.2977350383
MonotonicityNot monotonic
2025-02-26T22:41:04.289093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.018 5
 
0.1%
11.1141 5
 
0.1%
11.6475 5
 
0.1%
11.1386 4
 
< 0.1%
11.2234 4
 
< 0.1%
11.3392 4
 
< 0.1%
11.7009 4
 
< 0.1%
11.3935 4
 
< 0.1%
11.3103 4
 
< 0.1%
11.242 4
 
< 0.1%
Other values (7883) 9957
99.6%
ValueCountFrequency (%)
9.9514 1
< 0.1%
9.9917 1
< 0.1%
10.0197 1
< 0.1%
10.0251 1
< 0.1%
10.0516 1
< 0.1%
ValueCountFrequency (%)
13.1603 1
< 0.1%
13.1346 1
< 0.1%
13.0496 1
< 0.1%
13.0401 1
< 0.1%
12.8709 1
< 0.1%

var_35
Real number (ℝ)

Distinct9713
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.86272923
Minimum-11.7082
Maximum20.3823
Zeros0
Zeros (%)0.0%
Negative2425
Negative (%)24.2%
Memory size156.2 KiB
2025-02-26T22:41:04.692999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-11.7082
5-th percentile-4.64474
Q10.118625
median3.9291
Q37.5713
95-th percentile12.58482
Maximum20.3823
Range32.0905
Interquartile range (IQR)7.452675

Descriptive statistics

Standard deviation5.195194889
Coefficient of variation (CV)1.344954456
Kurtosis-0.4663817486
Mean3.86272923
Median Absolute Deviation (MAD)3.7369
Skewness-0.01691582754
Sum38627.2923
Variance26.99004993
MonotonicityNot monotonic
2025-02-26T22:41:05.071243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.8777 3
 
< 0.1%
3.8181 3
 
< 0.1%
0.0863 3
 
< 0.1%
2.5272 3
 
< 0.1%
13.3427 3
 
< 0.1%
-4.4744 2
 
< 0.1%
-2.3216 2
 
< 0.1%
4.5126 2
 
< 0.1%
3.6777 2
 
< 0.1%
5.353 2
 
< 0.1%
Other values (9703) 9975
99.8%
ValueCountFrequency (%)
-11.7082 1
< 0.1%
-11.0923 1
< 0.1%
-10.8254 1
< 0.1%
-10.8169 1
< 0.1%
-10.8092 1
< 0.1%
ValueCountFrequency (%)
20.3823 1
< 0.1%
18.9111 1
< 0.1%
17.7775 1
< 0.1%
17.0393 1
< 0.1%
16.7652 1
< 0.1%

var_36
Real number (ℝ)

Distinct9544
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.21771313
Minimum-7.6379
Maximum12.7103
Zeros0
Zeros (%)0.0%
Negative2491
Negative (%)24.9%
Memory size156.2 KiB
2025-02-26T22:41:05.458761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.6379
5-th percentile-3.003405
Q10.010575
median2.2434
Q34.4564
95-th percentile7.24739
Maximum12.7103
Range20.3482
Interquartile range (IQR)4.445825

Descriptive statistics

Standard deviation3.109485183
Coefficient of variation (CV)1.402113348
Kurtosis-0.3911645728
Mean2.21771313
Median Absolute Deviation (MAD)2.22455
Skewness-0.02794068001
Sum22177.1313
Variance9.668898101
MonotonicityNot monotonic
2025-02-26T22:41:05.870441image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3299 3
 
< 0.1%
5.8871 3
 
< 0.1%
6.6463 3
 
< 0.1%
4.4953 3
 
< 0.1%
4.9071 3
 
< 0.1%
2.4085 3
 
< 0.1%
1.3982 3
 
< 0.1%
2.399 3
 
< 0.1%
0.9356 3
 
< 0.1%
2.7329 3
 
< 0.1%
Other values (9534) 9970
99.7%
ValueCountFrequency (%)
-7.6379 1
< 0.1%
-7.5075 1
< 0.1%
-6.279 1
< 0.1%
-6.164 1
< 0.1%
-6.1294 1
< 0.1%
ValueCountFrequency (%)
12.7103 1
< 0.1%
12.6182 1
< 0.1%
11.6857 1
< 0.1%
11.6677 1
< 0.1%
11.2014 1
< 0.1%

var_37
Real number (ℝ)

Distinct9408
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.89312789
Minimum-0.5653
Maximum11.4254
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)< 0.1%
Memory size156.2 KiB
2025-02-26T22:41:06.287374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.5653
5-th percentile2.23239
Q14.167575
median5.9344
Q37.577275
95-th percentile9.51255
Maximum11.4254
Range11.9907
Interquartile range (IQR)3.4097

Descriptive statistics

Standard deviation2.257829253
Coefficient of variation (CV)0.3831291794
Kurtosis-0.6291535725
Mean5.89312789
Median Absolute Deviation (MAD)1.7023
Skewness0.01163035041
Sum58931.2789
Variance5.097792934
MonotonicityNot monotonic
2025-02-26T22:41:06.715283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8779 4
 
< 0.1%
5.1897 3
 
< 0.1%
4.434 3
 
< 0.1%
7.7152 3
 
< 0.1%
4.8747 3
 
< 0.1%
8.5911 3
 
< 0.1%
2.4483 3
 
< 0.1%
5.0848 3
 
< 0.1%
5.4688 3
 
< 0.1%
6.331 3
 
< 0.1%
Other values (9398) 9969
99.7%
ValueCountFrequency (%)
-0.5653 1
< 0.1%
-0.5236 1
< 0.1%
-0.3926 1
< 0.1%
-0.1725 1
< 0.1%
0.0258 1
< 0.1%
ValueCountFrequency (%)
11.4254 1
< 0.1%
11.2975 1
< 0.1%
11.2387 1
< 0.1%
11.2385 1
< 0.1%
11.2227 1
< 0.1%

var_38
Real number (ℝ)

Distinct9666
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.62591328
Minimum-5.9082
Maximum28.6329
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)0.2%
Memory size156.2 KiB
2025-02-26T22:41:07.476660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.9082
5-th percentile3.693265
Q17.50525
median10.56685
Q313.53885
95-th percentile17.81544
Maximum28.6329
Range34.5411
Interquartile range (IQR)6.0336

Descriptive statistics

Standard deviation4.308157709
Coefficient of variation (CV)0.405438817
Kurtosis-0.2508220233
Mean10.62591328
Median Absolute Deviation (MAD)3.01675
Skewness0.1301914818
Sum106259.1328
Variance18.56022285
MonotonicityNot monotonic
2025-02-26T22:41:07.890314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7056 3
 
< 0.1%
12.5262 3
 
< 0.1%
11.6335 3
 
< 0.1%
13.4982 3
 
< 0.1%
9.3533 3
 
< 0.1%
14.8223 3
 
< 0.1%
13.1572 3
 
< 0.1%
9.6728 3
 
< 0.1%
11.6442 3
 
< 0.1%
9.8453 2
 
< 0.1%
Other values (9656) 9971
99.7%
ValueCountFrequency (%)
-5.9082 1
< 0.1%
-3.3743 1
< 0.1%
-2.7668 1
< 0.1%
-2.2644 1
< 0.1%
-1.7842 1
< 0.1%
ValueCountFrequency (%)
28.6329 1
< 0.1%
26.5887 1
< 0.1%
25.3376 1
< 0.1%
24.7285 1
< 0.1%
24.6613 1
< 0.1%

var_39
Real number (ℝ)

Distinct9666
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71219613
Minimum-12.8086
Maximum13.5751
Zeros0
Zeros (%)0.0%
Negative4313
Negative (%)43.1%
Memory size156.2 KiB
2025-02-26T22:41:08.300325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-12.8086
5-th percentile-6.26724
Q1-2.1141
median0.7745
Q33.65925
95-th percentile7.248645
Maximum13.5751
Range26.3837
Interquartile range (IQR)5.77335

Descriptive statistics

Standard deviation4.077298178
Coefficient of variation (CV)5.724965366
Kurtosis-0.4251182818
Mean0.71219613
Median Absolute Deviation (MAD)2.887
Skewness-0.09213698842
Sum7121.9613
Variance16.62436043
MonotonicityNot monotonic
2025-02-26T22:41:08.672692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7429 3
 
< 0.1%
2.9373 3
 
< 0.1%
-4.649 3
 
< 0.1%
-0.1903 3
 
< 0.1%
3.8141 3
 
< 0.1%
1.6843 3
 
< 0.1%
-4.7352 2
 
< 0.1%
-0.0439 2
 
< 0.1%
-1.2504 2
 
< 0.1%
-3.3718 2
 
< 0.1%
Other values (9656) 9974
99.7%
ValueCountFrequency (%)
-12.8086 1
< 0.1%
-12.622 1
< 0.1%
-12.0186 1
< 0.1%
-11.5261 1
< 0.1%
-11.4764 1
< 0.1%
ValueCountFrequency (%)
13.5751 1
< 0.1%
12.8955 1
< 0.1%
12.8283 1
< 0.1%
12.5128 1
< 0.1%
12.4108 1
< 0.1%

var_40
Real number (ℝ)

Distinct9794
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.78395914
Minimum-29.7932
Maximum16.4429
Zeros0
Zeros (%)0.0%
Negative7848
Negative (%)78.5%
Memory size156.2 KiB
2025-02-26T22:41:09.050044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-29.7932
5-th percentile-20.428715
Q1-12.87135
median-6.6293
Q3-0.963775
95-th percentile7.299795
Maximum16.4429
Range46.2361
Interquartile range (IQR)11.907575

Descriptive statistics

Standard deviation8.326100677
Coefficient of variation (CV)-1.227321761
Kurtosis-0.4541991636
Mean-6.78395914
Median Absolute Deviation (MAD)5.9608
Skewness0.04520254635
Sum-67839.5914
Variance69.32395249
MonotonicityNot monotonic
2025-02-26T22:41:09.433296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-19.1323 3
 
< 0.1%
-4.978 3
 
< 0.1%
-6.4551 3
 
< 0.1%
-15.8495 2
 
< 0.1%
-2.8977 2
 
< 0.1%
-6.8906 2
 
< 0.1%
-13.6673 2
 
< 0.1%
-12.0488 2
 
< 0.1%
-16.4413 2
 
< 0.1%
-6.5207 2
 
< 0.1%
Other values (9784) 9977
99.8%
ValueCountFrequency (%)
-29.7932 1
< 0.1%
-29.7624 1
< 0.1%
-29.5763 1
< 0.1%
-29.5294 1
< 0.1%
-29.1739 1
< 0.1%
ValueCountFrequency (%)
16.4429 1
< 0.1%
15.498 1
< 0.1%
14.0927 1
< 0.1%
13.5275 1
< 0.1%
13.4867 1
< 0.1%

var_41
Real number (ℝ)

Distinct9766
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.33277656
Minimum-5.6388
Maximum24.899
Zeros0
Zeros (%)0.0%
Negative430
Negative (%)4.3%
Memory size156.2 KiB
2025-02-26T22:41:09.792973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.6388
5-th percentile0.25038
Q14.495975
median9.17955
Q313.701525
95-th percentile19.23951
Maximum24.899
Range30.5378
Interquartile range (IQR)9.20555

Descriptive statistics

Standard deviation5.934317215
Coefficient of variation (CV)0.6358576332
Kurtosis-0.641921602
Mean9.33277656
Median Absolute Deviation (MAD)4.60485
Skewness0.1697177267
Sum93327.7656
Variance35.2161208
MonotonicityNot monotonic
2025-02-26T22:41:10.180562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7607 3
 
< 0.1%
13.5115 3
 
< 0.1%
10.2195 3
 
< 0.1%
1.8761 3
 
< 0.1%
5.3143 3
 
< 0.1%
13.9402 2
 
< 0.1%
17.0185 2
 
< 0.1%
7.0023 2
 
< 0.1%
-0.4688 2
 
< 0.1%
13.8907 2
 
< 0.1%
Other values (9756) 9975
99.8%
ValueCountFrequency (%)
-5.6388 1
< 0.1%
-5.3864 1
< 0.1%
-5.0662 1
< 0.1%
-5.0585 1
< 0.1%
-4.8624 1
< 0.1%
ValueCountFrequency (%)
24.899 1
< 0.1%
24.7374 1
< 0.1%
24.6889 1
< 0.1%
24.6785 1
< 0.1%
24.6686 1
< 0.1%

var_42
Real number (ℝ)

Distinct8286
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.215515
Minimum9.2316
Maximum13.4696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:10.573558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9.2316
5-th percentile10.05228
Q110.70205
median11.233
Q311.753075
95-th percentile12.297465
Maximum13.4696
Range4.238
Interquartile range (IQR)1.051025

Descriptive statistics

Standard deviation0.6933622951
Coefficient of variation (CV)0.06182170815
Kurtosis-0.5950564231
Mean11.215515
Median Absolute Deviation (MAD)0.52545
Skewness-0.1281850588
Sum112155.15
Variance0.4807512723
MonotonicityNot monotonic
2025-02-26T22:41:10.954537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7139 6
 
0.1%
10.6351 5
 
0.1%
10.9966 4
 
< 0.1%
10.835 4
 
< 0.1%
11.0655 4
 
< 0.1%
11.428 4
 
< 0.1%
11.5499 4
 
< 0.1%
11.24 4
 
< 0.1%
11.1594 4
 
< 0.1%
10.3025 4
 
< 0.1%
Other values (8276) 9957
99.6%
ValueCountFrequency (%)
9.2316 1
< 0.1%
9.2425 1
< 0.1%
9.2771 1
< 0.1%
9.3068 1
< 0.1%
9.3095 1
< 0.1%
ValueCountFrequency (%)
13.4696 1
< 0.1%
13.1846 1
< 0.1%
13.1259 1
< 0.1%
13.056 1
< 0.1%
13.0334 1
< 0.1%

var_43
Real number (ℝ)

Distinct6768
Distinct (%)67.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.56713582
Minimum10.7692
Maximum12.4906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:11.332771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10.7692
5-th percentile11.062685
Q111.341175
median11.5567
Q311.80535
95-th percentile12.059505
Maximum12.4906
Range1.7214
Interquartile range (IQR)0.464175

Descriptive statistics

Standard deviation0.3092153112
Coefficient of variation (CV)0.02673222793
Kurtosis-0.5824038904
Mean11.56713582
Median Absolute Deviation (MAD)0.2314
Skewness-0.01287874659
Sum115671.3582
Variance0.09561410871
MonotonicityNot monotonic
2025-02-26T22:41:11.751490image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.4155 7
 
0.1%
11.802 6
 
0.1%
11.4537 6
 
0.1%
11.7977 5
 
0.1%
11.6467 5
 
0.1%
11.5848 5
 
0.1%
11.2872 5
 
0.1%
11.4592 5
 
0.1%
11.5133 5
 
0.1%
11.4401 5
 
0.1%
Other values (6758) 9946
99.5%
ValueCountFrequency (%)
10.7692 1
< 0.1%
10.7779 1
< 0.1%
10.7906 1
< 0.1%
10.7922 1
< 0.1%
10.7953 1
< 0.1%
ValueCountFrequency (%)
12.4906 1
< 0.1%
12.4798 1
< 0.1%
12.4471 1
< 0.1%
12.4263 1
< 0.1%
12.4154 1
< 0.1%

var_44
Real number (ℝ)

Distinct9718
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.83761742
Minimum-9.5916
Maximum29.3291
Zeros0
Zeros (%)0.0%
Negative858
Negative (%)8.6%
Memory size156.2 KiB
2025-02-26T22:41:12.165272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.5916
5-th percentile-2.358695
Q15.13655
median9.3271
Q313.0701
95-th percentile17.789045
Maximum29.3291
Range38.9207
Interquartile range (IQR)7.93355

Descriptive statistics

Standard deviation5.954691996
Coefficient of variation (CV)0.6737892933
Kurtosis-0.1212527164
Mean8.83761742
Median Absolute Deviation (MAD)3.9153
Skewness-0.3388003074
Sum88376.1742
Variance35.45835676
MonotonicityNot monotonic
2025-02-26T22:41:12.589250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.2506 3
 
< 0.1%
7.6768 3
 
< 0.1%
11.0419 3
 
< 0.1%
13.1536 3
 
< 0.1%
12.0296 3
 
< 0.1%
6.8989 3
 
< 0.1%
11.2063 3
 
< 0.1%
8.9852 2
 
< 0.1%
11.0136 2
 
< 0.1%
11.4362 2
 
< 0.1%
Other values (9708) 9973
99.7%
ValueCountFrequency (%)
-9.5916 1
< 0.1%
-8.8777 1
< 0.1%
-8.3887 1
< 0.1%
-8.3265 1
< 0.1%
-8.2817 1
< 0.1%
ValueCountFrequency (%)
29.3291 1
< 0.1%
27.9675 1
< 0.1%
26.7135 1
< 0.1%
26.4248 1
< 0.1%
26.2591 1
< 0.1%

var_45
Real number (ℝ)

Distinct9910
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.4840255
Minimum-73.9313
Maximum56.5561
Zeros0
Zeros (%)0.0%
Negative6982
Negative (%)69.8%
Memory size156.2 KiB
2025-02-26T22:41:13.006641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-73.9313
5-th percentile-46.73491
Q1-28.872725
median-12.40195
Q33.28375
95-th percentile21.851735
Maximum56.5561
Range130.4874
Interquartile range (IQR)32.156475

Descriptive statistics

Standard deviation21.21671367
Coefficient of variation (CV)-1.699508998
Kurtosis-0.6141697747
Mean-12.4840255
Median Absolute Deviation (MAD)16.03685
Skewness0.004042854535
Sum-124840.255
Variance450.1489391
MonotonicityNot monotonic
2025-02-26T22:41:13.415398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-23.0476 2
 
< 0.1%
-22.4055 2
 
< 0.1%
10.9814 2
 
< 0.1%
2.7395 2
 
< 0.1%
-13.2334 2
 
< 0.1%
-11.6023 2
 
< 0.1%
11.0128 2
 
< 0.1%
4.6981 2
 
< 0.1%
-15.7578 2
 
< 0.1%
4.469 2
 
< 0.1%
Other values (9900) 9980
99.8%
ValueCountFrequency (%)
-73.9313 1
< 0.1%
-73.8854 1
< 0.1%
-73.8789 1
< 0.1%
-73.8322 1
< 0.1%
-72.9446 1
< 0.1%
ValueCountFrequency (%)
56.5561 1
< 0.1%
50.7834 1
< 0.1%
50.5611 1
< 0.1%
49.3717 1
< 0.1%
49.2619 1
< 0.1%

var_46
Real number (ℝ)

Distinct9551
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.34715156
Minimum2.7588
Maximum20.807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:13.819481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.7588
5-th percentile6.67755
Q19.25555
median11.32195
Q313.37985
95-th percentile16.138155
Maximum20.807
Range18.0482
Interquartile range (IQR)4.1243

Descriptive statistics

Standard deviation2.876428442
Coefficient of variation (CV)0.2534934364
Kurtosis-0.415275509
Mean11.34715156
Median Absolute Deviation (MAD)2.0627
Skewness0.06501674792
Sum113471.5156
Variance8.273840582
MonotonicityNot monotonic
2025-02-26T22:41:14.218410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.1123 3
 
< 0.1%
8.6201 3
 
< 0.1%
9.7704 3
 
< 0.1%
10.3708 3
 
< 0.1%
12.1024 3
 
< 0.1%
10.141 3
 
< 0.1%
8.2508 3
 
< 0.1%
12.5415 3
 
< 0.1%
12.2048 3
 
< 0.1%
10.7335 3
 
< 0.1%
Other values (9541) 9970
99.7%
ValueCountFrequency (%)
2.7588 1
< 0.1%
2.8457 1
< 0.1%
2.9085 1
< 0.1%
3.1543 1
< 0.1%
3.3508 1
< 0.1%
ValueCountFrequency (%)
20.807 1
< 0.1%
20.7077 1
< 0.1%
20.1129 1
< 0.1%
19.7398 1
< 0.1%
19.6614 1
< 0.1%

var_47
Real number (ℝ)

Distinct9848
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-12.30743921
Minimum-44.322
Maximum18.7334
Zeros0
Zeros (%)0.0%
Negative8640
Negative (%)86.4%
Memory size156.2 KiB
2025-02-26T22:41:14.631835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-44.322
5-th percentile-29.49384
Q1-20.38475
median-12.1938
Q3-4.0448
95-th percentile4.65512
Maximum18.7334
Range63.0554
Interquartile range (IQR)16.33995

Descriptive statistics

Standard deviation10.57448851
Coefficient of variation (CV)-0.8591948601
Kurtosis-0.7513964781
Mean-12.30743921
Median Absolute Deviation (MAD)8.17305
Skewness-0.03818302004
Sum-123074.3921
Variance111.8198072
MonotonicityNot monotonic
2025-02-26T22:41:15.025197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.211 3
 
< 0.1%
-24.0391 2
 
< 0.1%
-3.9066 2
 
< 0.1%
-18.6308 2
 
< 0.1%
-13.7777 2
 
< 0.1%
-9.6328 2
 
< 0.1%
-7.9527 2
 
< 0.1%
-26.6424 2
 
< 0.1%
-6.5881 2
 
< 0.1%
-21.4047 2
 
< 0.1%
Other values (9838) 9979
99.8%
ValueCountFrequency (%)
-44.322 1
< 0.1%
-43.0607 1
< 0.1%
-41.2439 1
< 0.1%
-40.543 1
< 0.1%
-39.7968 1
< 0.1%
ValueCountFrequency (%)
18.7334 1
< 0.1%
15.9648 1
< 0.1%
14.9232 1
< 0.1%
14.5826 1
< 0.1%
13.6753 1
< 0.1%

var_48
Real number (ℝ)

Distinct9846
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.86871287
Minimum-22.0828
Maximum49.5096
Zeros0
Zeros (%)0.0%
Negative1003
Negative (%)10.0%
Memory size156.2 KiB
2025-02-26T22:41:15.420880image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-22.0828
5-th percentile-3.59846
Q16.7508
median14.69075
Q322.998375
95-th percentile33.705535
Maximum49.5096
Range71.5924
Interquartile range (IQR)16.247575

Descriptive statistics

Standard deviation11.33016862
Coefficient of variation (CV)0.7620140841
Kurtosis-0.4999130199
Mean14.86871287
Median Absolute Deviation (MAD)8.1319
Skewness0.01804502448
Sum148687.1287
Variance128.3727209
MonotonicityNot monotonic
2025-02-26T22:41:15.830130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.1295 3
 
< 0.1%
22.5029 3
 
< 0.1%
4.1262 3
 
< 0.1%
19.9546 2
 
< 0.1%
5.5168 2
 
< 0.1%
9.4461 2
 
< 0.1%
25.2039 2
 
< 0.1%
17.7124 2
 
< 0.1%
15.6583 2
 
< 0.1%
12.1844 2
 
< 0.1%
Other values (9836) 9977
99.8%
ValueCountFrequency (%)
-22.0828 1
< 0.1%
-21.7534 1
< 0.1%
-21.1768 1
< 0.1%
-19.1426 1
< 0.1%
-17.669 1
< 0.1%
ValueCountFrequency (%)
49.5096 1
< 0.1%
45.3226 1
< 0.1%
44.9254 1
< 0.1%
44.9024 1
< 0.1%
44.3947 1
< 0.1%

var_49
Real number (ℝ)

Distinct9802
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.60837434
Minimum-6.9777
Maximum40.0807
Zeros0
Zeros (%)0.0%
Negative54
Negative (%)0.5%
Memory size156.2 KiB
2025-02-26T22:41:16.233003image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-6.9777
5-th percentile4.260475
Q110.541575
median16.5139
Q322.487575
95-th percentile29.3787
Maximum40.0807
Range47.0584
Interquartile range (IQR)11.946

Descriptive statistics

Standard deviation7.828897736
Coefficient of variation (CV)0.4713825433
Kurtosis-0.6483426373
Mean16.60837434
Median Absolute Deviation (MAD)5.97315
Skewness0.07592982998
Sum166083.7434
Variance61.29163977
MonotonicityNot monotonic
2025-02-26T22:41:16.603466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.2412 3
 
< 0.1%
17.7264 3
 
< 0.1%
11.84 3
 
< 0.1%
28.1453 3
 
< 0.1%
19.6593 2
 
< 0.1%
6.4518 2
 
< 0.1%
14.2971 2
 
< 0.1%
17.1898 2
 
< 0.1%
19.2651 2
 
< 0.1%
23.5785 2
 
< 0.1%
Other values (9792) 9976
99.8%
ValueCountFrequency (%)
-6.9777 1
< 0.1%
-5.567 1
< 0.1%
-4.1406 1
< 0.1%
-3.5324 1
< 0.1%
-3.5211 1
< 0.1%
ValueCountFrequency (%)
40.0807 1
< 0.1%
38.3278 1
< 0.1%
38.0829 1
< 0.1%
37.7162 1
< 0.1%
37.6543 1
< 0.1%

var_50
Real number (ℝ)

Distinct8268
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.73371695
Minimum10.6566
Maximum15.3154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:16.972243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10.6566
5-th percentile11.543365
Q112.263475
median12.73885
Q313.24005
95-th percentile13.843115
Maximum15.3154
Range4.6588
Interquartile range (IQR)0.976575

Descriptive statistics

Standard deviation0.6877894577
Coefficient of variation (CV)0.05401325163
Kurtosis-0.3886098465
Mean12.73371695
Median Absolute Deviation (MAD)0.48635
Skewness-0.07545641931
Sum127337.1695
Variance0.4730543382
MonotonicityNot monotonic
2025-02-26T22:41:17.374547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.8254 5
 
0.1%
12.4763 5
 
0.1%
13.6486 5
 
0.1%
12.9224 4
 
< 0.1%
13.341 4
 
< 0.1%
12.4476 4
 
< 0.1%
12.3604 4
 
< 0.1%
12.4657 4
 
< 0.1%
12.3754 4
 
< 0.1%
12.6197 4
 
< 0.1%
Other values (8258) 9957
99.6%
ValueCountFrequency (%)
10.6566 1
< 0.1%
10.8319 1
< 0.1%
10.8392 1
< 0.1%
10.9194 1
< 0.1%
10.9416 1
< 0.1%
ValueCountFrequency (%)
15.3154 1
< 0.1%
15.0389 1
< 0.1%
14.7386 1
< 0.1%
14.7334 1
< 0.1%
14.7069 1
< 0.1%

var_51
Real number (ℝ)

Distinct9809
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.28172065
Minimum-11.8661
Maximum37.4412
Zeros0
Zeros (%)0.0%
Negative490
Negative (%)4.9%
Memory size156.2 KiB
2025-02-26T22:41:17.769886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-11.8661
5-th percentile0.08374
Q17.094525
median13.37125
Q319.287175
95-th percentile26.684565
Maximum37.4412
Range49.3073
Interquartile range (IQR)12.19265

Descriptive statistics

Standard deviation8.24152574
Coefficient of variation (CV)0.6205164193
Kurtosis-0.5083491212
Mean13.28172065
Median Absolute Deviation (MAD)6.08245
Skewness0.05299858331
Sum132817.2065
Variance67.92274652
MonotonicityNot monotonic
2025-02-26T22:41:18.186654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.0889 2
 
< 0.1%
9.8959 2
 
< 0.1%
2.4377 2
 
< 0.1%
12.3443 2
 
< 0.1%
6.9391 2
 
< 0.1%
19.8327 2
 
< 0.1%
7.7677 2
 
< 0.1%
18.7445 2
 
< 0.1%
11.5801 2
 
< 0.1%
25.3742 2
 
< 0.1%
Other values (9799) 9980
99.8%
ValueCountFrequency (%)
-11.8661 1
< 0.1%
-11.7797 1
< 0.1%
-8.5075 1
< 0.1%
-8.2711 1
< 0.1%
-7.925 1
< 0.1%
ValueCountFrequency (%)
37.4412 1
< 0.1%
37.2637 1
< 0.1%
36.4958 1
< 0.1%
36.4617 1
< 0.1%
36.3038 1
< 0.1%

var_52
Real number (ℝ)

Distinct9707
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.52974431
Minimum-19.853
Maximum14.8029
Zeros0
Zeros (%)0.0%
Negative6851
Negative (%)68.5%
Memory size156.2 KiB
2025-02-26T22:41:18.577007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-19.853
5-th percentile-10.656815
Q1-6.119975
median-2.49935
Q30.99235
95-th percentile5.845825
Maximum14.8029
Range34.6559
Interquartile range (IQR)7.112325

Descriptive statistics

Standard deviation5.006759318
Coefficient of variation (CV)-1.979156272
Kurtosis-0.3595658905
Mean-2.52974431
Median Absolute Deviation (MAD)3.5584
Skewness-0.015446961
Sum-25297.4431
Variance25.06763887
MonotonicityNot monotonic
2025-02-26T22:41:18.988879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.0306 3
 
< 0.1%
-4.0023 3
 
< 0.1%
-4.9523 3
 
< 0.1%
-2.6125 2
 
< 0.1%
0.9481 2
 
< 0.1%
-3.2119 2
 
< 0.1%
-1.4603 2
 
< 0.1%
1.0737 2
 
< 0.1%
-1.7234 2
 
< 0.1%
4.9819 2
 
< 0.1%
Other values (9697) 9977
99.8%
ValueCountFrequency (%)
-19.853 1
< 0.1%
-19.5063 1
< 0.1%
-19.4678 1
< 0.1%
-19.3641 1
< 0.1%
-19.1627 1
< 0.1%
ValueCountFrequency (%)
14.8029 1
< 0.1%
13.7911 1
< 0.1%
12.8654 1
< 0.1%
12.6564 1
< 0.1%
11.7779 1
< 0.1%

var_53
Real number (ℝ)

Distinct8395
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.01980125
Minimum3.8794
Maximum7.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:19.404931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.8794
5-th percentile4.78887
Q15.446225
median6.0415
Q36.55225
95-th percentile7.29083
Maximum7.83
Range3.9506
Interquartile range (IQR)1.106025

Descriptive statistics

Standard deviation0.7624939588
Coefficient of variation (CV)0.1266643079
Kurtosis-0.465179522
Mean6.01980125
Median Absolute Deviation (MAD)0.5536
Skewness0.06813662002
Sum60198.0125
Variance0.5813970372
MonotonicityNot monotonic
2025-02-26T22:41:19.849474image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8327 5
 
0.1%
5.1688 4
 
< 0.1%
5.9032 4
 
< 0.1%
6.294 4
 
< 0.1%
6.6429 4
 
< 0.1%
6.5097 4
 
< 0.1%
5.2287 4
 
< 0.1%
6.2209 4
 
< 0.1%
5.8487 4
 
< 0.1%
5.8898 4
 
< 0.1%
Other values (8385) 9959
99.6%
ValueCountFrequency (%)
3.8794 1
< 0.1%
3.9417 1
< 0.1%
4.0026 1
< 0.1%
4.0233 1
< 0.1%
4.0274 1
< 0.1%
ValueCountFrequency (%)
7.83 1
< 0.1%
7.829 1
< 0.1%
7.8288 1
< 0.1%
7.8272 1
< 0.1%
7.8266 1
< 0.1%

var_54
Real number (ℝ)

Distinct9832
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.08998036
Minimum-25.5947
Maximum28.5724
Zeros0
Zeros (%)0.0%
Negative4481
Negative (%)44.8%
Memory size156.2 KiB
2025-02-26T22:41:20.396160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-25.5947
5-th percentile-12.88074
Q1-5.2768
median1.26395
Q37.361025
95-th percentile14.532815
Maximum28.5724
Range54.1671
Interquartile range (IQR)12.637825

Descriptive statistics

Standard deviation8.448694287
Coefficient of variation (CV)7.751235341
Kurtosis-0.611308685
Mean1.08998036
Median Absolute Deviation (MAD)6.3317
Skewness-0.02880352354
Sum10899.8036
Variance71.38043516
MonotonicityNot monotonic
2025-02-26T22:41:20.878134image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3218 3
 
< 0.1%
-7.3114 2
 
< 0.1%
-1.2171 2
 
< 0.1%
-13.9742 2
 
< 0.1%
13.1915 2
 
< 0.1%
-5.7268 2
 
< 0.1%
4.5494 2
 
< 0.1%
1.7167 2
 
< 0.1%
-8.3786 2
 
< 0.1%
0.9245 2
 
< 0.1%
Other values (9822) 9979
99.8%
ValueCountFrequency (%)
-25.5947 1
< 0.1%
-24.4682 1
< 0.1%
-22.352 1
< 0.1%
-21.7694 1
< 0.1%
-21.7543 1
< 0.1%
ValueCountFrequency (%)
28.5724 1
< 0.1%
26.5831 1
< 0.1%
25.6738 1
< 0.1%
25.4985 1
< 0.1%
25.3891 1
< 0.1%

var_55
Real number (ℝ)

Distinct9764
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.84761854
Minimum-1.2397
Maximum28.1803
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)< 0.1%
Memory size156.2 KiB
2025-02-26T22:41:21.448477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.2397
5-th percentile4.0348
Q18.212675
median12.66545
Q317.222875
95-th percentile22.196
Maximum28.1803
Range29.42
Interquartile range (IQR)9.0102

Descriptive statistics

Standard deviation5.717568857
Coefficient of variation (CV)0.445029469
Kurtosis-0.7797599364
Mean12.84761854
Median Absolute Deviation (MAD)4.5027
Skewness0.1198740396
Sum128476.1854
Variance32.69059364
MonotonicityNot monotonic
2025-02-26T22:41:22.282754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4696 3
 
< 0.1%
12.8693 3
 
< 0.1%
12.6357 3
 
< 0.1%
4.0597 2
 
< 0.1%
9.4793 2
 
< 0.1%
12.049 2
 
< 0.1%
6.9905 2
 
< 0.1%
17.5288 2
 
< 0.1%
18.0355 2
 
< 0.1%
10.6484 2
 
< 0.1%
Other values (9754) 9977
99.8%
ValueCountFrequency (%)
-1.2397 1
< 0.1%
-1.0528 1
< 0.1%
-0.4836 1
< 0.1%
-0.2124 1
< 0.1%
0.1693 1
< 0.1%
ValueCountFrequency (%)
28.1803 1
< 0.1%
28.0097 1
< 0.1%
27.8624 1
< 0.1%
27.7926 1
< 0.1%
27.7379 1
< 0.1%

var_56
Real number (ℝ)

Distinct9606
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.62997259
Minimum4.1274
Maximum26.8641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:22.710094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.1274
5-th percentile10.75029
Q114.06895
median16.70205
Q319.3132
95-th percentile22.212815
Maximum26.8641
Range22.7367
Interquartile range (IQR)5.24425

Descriptive statistics

Standard deviation3.549559647
Coefficient of variation (CV)0.2134435055
Kurtosis-0.4158265872
Mean16.62997259
Median Absolute Deviation (MAD)2.6286
Skewness-0.1561342826
Sum166299.7259
Variance12.59937369
MonotonicityNot monotonic
2025-02-26T22:41:23.114329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.8356 4
 
< 0.1%
13.6482 3
 
< 0.1%
15.5775 3
 
< 0.1%
13.6388 3
 
< 0.1%
16.3325 3
 
< 0.1%
16.8325 3
 
< 0.1%
14.6663 3
 
< 0.1%
20.478 3
 
< 0.1%
15.0194 3
 
< 0.1%
19.216 3
 
< 0.1%
Other values (9596) 9969
99.7%
ValueCountFrequency (%)
4.1274 1
< 0.1%
5.027 1
< 0.1%
5.0327 1
< 0.1%
5.2191 1
< 0.1%
5.4755 1
< 0.1%
ValueCountFrequency (%)
26.8641 1
< 0.1%
26.3738 1
< 0.1%
26.1581 1
< 0.1%
26.0303 1
< 0.1%
25.9139 1
< 0.1%

var_57
Real number (ℝ)

Distinct8497
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.27753419
Minimum3.7929
Maximum8.8958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:23.480996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.7929
5-th percentile4.98319
Q15.6874
median6.26645
Q36.8587
95-th percentile7.58003
Maximum8.8958
Range5.1029
Interquartile range (IQR)1.1713

Descriptive statistics

Standard deviation0.7958992936
Coefficient of variation (CV)0.1267853379
Kurtosis-0.5437066451
Mean6.27753419
Median Absolute Deviation (MAD)0.5844
Skewness0.04174085675
Sum62775.3419
Variance0.6334556856
MonotonicityNot monotonic
2025-02-26T22:41:23.902966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.9003 4
 
< 0.1%
6.6535 4
 
< 0.1%
5.9179 4
 
< 0.1%
7.5219 4
 
< 0.1%
6.5019 4
 
< 0.1%
6.4136 4
 
< 0.1%
5.92 4
 
< 0.1%
5.5108 4
 
< 0.1%
6.2293 4
 
< 0.1%
6.5414 4
 
< 0.1%
Other values (8487) 9960
99.6%
ValueCountFrequency (%)
3.7929 1
< 0.1%
3.9505 1
< 0.1%
3.9551 1
< 0.1%
4.1057 1
< 0.1%
4.1411 1
< 0.1%
ValueCountFrequency (%)
8.8958 1
< 0.1%
8.718 1
< 0.1%
8.6296 1
< 0.1%
8.5335 1
< 0.1%
8.5304 1
< 0.1%

var_58
Real number (ℝ)

Distinct9664
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.20921995
Minimum-11.6315
Maximum17.6972
Zeros0
Zeros (%)0.0%
Negative2394
Negative (%)23.9%
Memory size156.2 KiB
2025-02-26T22:41:24.292480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-11.6315
5-th percentile-4.078185
Q10.183575
median3.24775
Q36.263
95-th percentile10.14615
Maximum17.6972
Range29.3287
Interquartile range (IQR)6.079425

Descriptive statistics

Standard deviation4.302815114
Coefficient of variation (CV)1.34076666
Kurtosis-0.3395617266
Mean3.20921995
Median Absolute Deviation (MAD)3.03875
Skewness-0.0102894752
Sum32092.1995
Variance18.5142179
MonotonicityNot monotonic
2025-02-26T22:41:24.670286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3233 3
 
< 0.1%
9.3014 3
 
< 0.1%
2.106 3
 
< 0.1%
9.8441 3
 
< 0.1%
5.345 3
 
< 0.1%
2.0828 2
 
< 0.1%
5.0548 2
 
< 0.1%
-0.7648 2
 
< 0.1%
6.1979 2
 
< 0.1%
3.1634 2
 
< 0.1%
Other values (9654) 9975
99.8%
ValueCountFrequency (%)
-11.6315 1
< 0.1%
-10.3121 1
< 0.1%
-9.1034 1
< 0.1%
-8.8117 1
< 0.1%
-8.5285 1
< 0.1%
ValueCountFrequency (%)
17.6972 1
< 0.1%
17.2852 1
< 0.1%
16.6545 1
< 0.1%
16.5803 1
< 0.1%
16.36 1
< 0.1%

var_59
Real number (ℝ)

Distinct8575
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9297843
Minimum6.7888
Maximum11.7678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:25.079567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.7888
5-th percentile7.545695
Q18.32065
median8.89725
Q39.5655
95-th percentile10.32741
Maximum11.7678
Range4.979
Interquartile range (IQR)1.24485

Descriptive statistics

Standard deviation0.8511076417
Coefficient of variation (CV)0.09531110866
Kurtosis-0.5374434585
Mean8.9297843
Median Absolute Deviation (MAD)0.6186
Skewness0.05423750786
Sum89297.843
Variance0.7243842178
MonotonicityNot monotonic
2025-02-26T22:41:25.491511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.3718 5
 
0.1%
9.3048 4
 
< 0.1%
8.416 4
 
< 0.1%
9.0049 4
 
< 0.1%
9.1881 4
 
< 0.1%
8.5431 4
 
< 0.1%
8.3892 4
 
< 0.1%
9.0081 4
 
< 0.1%
9.5049 4
 
< 0.1%
8.5321 4
 
< 0.1%
Other values (8565) 9959
99.6%
ValueCountFrequency (%)
6.7888 1
< 0.1%
6.8238 1
< 0.1%
6.859 1
< 0.1%
6.8959 1
< 0.1%
6.9101 1
< 0.1%
ValueCountFrequency (%)
11.7678 1
< 0.1%
11.5833 1
< 0.1%
11.4443 1
< 0.1%
11.3362 1
< 0.1%
11.3166 1
< 0.1%

var_60
Real number (ℝ)

Distinct9670
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.17923231
Minimum0.3972
Maximum24.3064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:25.874017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3972
5-th percentile5.689115
Q18.9498
median12.06035
Q315.1372
95-th percentile19.22748
Maximum24.3064
Range23.9092
Interquartile range (IQR)6.1874

Descriptive statistics

Standard deviation4.190212988
Coefficient of variation (CV)0.3440457396
Kurtosis-0.4711312701
Mean12.17923231
Median Absolute Deviation (MAD)3.0912
Skewness0.165350158
Sum121792.3231
Variance17.55788489
MonotonicityNot monotonic
2025-02-26T22:41:26.290226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.1255 3
 
< 0.1%
16.1205 3
 
< 0.1%
12.8675 3
 
< 0.1%
13.647 3
 
< 0.1%
11.7729 3
 
< 0.1%
6.9873 3
 
< 0.1%
14.5092 2
 
< 0.1%
6.8164 2
 
< 0.1%
9.3401 2
 
< 0.1%
19.8717 2
 
< 0.1%
Other values (9660) 9974
99.7%
ValueCountFrequency (%)
0.3972 1
< 0.1%
0.8755 1
< 0.1%
1.2183 1
< 0.1%
1.2466 1
< 0.1%
1.2545 1
< 0.1%
ValueCountFrequency (%)
24.3064 1
< 0.1%
23.9875 1
< 0.1%
23.9377 1
< 0.1%
23.8252 1
< 0.1%
23.8097 1
< 0.1%

var_61
Real number (ℝ)

Distinct9901
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-11.95197842
Minimum-46.21
Maximum26.9009
Zeros0
Zeros (%)0.0%
Negative8349
Negative (%)83.5%
Memory size156.2 KiB
2025-02-26T22:41:26.672353image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-46.21
5-th percentile-30.630075
Q1-21.06635
median-11.7035
Q3-2.971925
95-th percentile6.61207
Maximum26.9009
Range73.1109
Interquartile range (IQR)18.094425

Descriptive statistics

Standard deviation11.70350238
Coefficient of variation (CV)-0.9792104681
Kurtosis-0.6217023881
Mean-11.95197842
Median Absolute Deviation (MAD)9.00655
Skewness0.03249680751
Sum-119519.7842
Variance136.971968
MonotonicityNot monotonic
2025-02-26T22:41:27.070253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-26.6584 2
 
< 0.1%
-3.8435 2
 
< 0.1%
-20.958 2
 
< 0.1%
-10.7607 2
 
< 0.1%
2.3058 2
 
< 0.1%
-2.3865 2
 
< 0.1%
-20.5676 2
 
< 0.1%
-11.9626 2
 
< 0.1%
-15.7689 2
 
< 0.1%
-19.3463 2
 
< 0.1%
Other values (9891) 9980
99.8%
ValueCountFrequency (%)
-46.21 1
< 0.1%
-42.2848 1
< 0.1%
-41.8372 1
< 0.1%
-41.7448 1
< 0.1%
-40.7905 1
< 0.1%
ValueCountFrequency (%)
26.9009 1
< 0.1%
24.2829 1
< 0.1%
24.0681 1
< 0.1%
23.4574 1
< 0.1%
23.4418 1
< 0.1%

var_62
Real number (ℝ)

Distinct9320
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.90014379
Minimum-6.0988
Maximum6.8602
Zeros0
Zeros (%)0.0%
Negative3442
Negative (%)34.4%
Memory size156.2 KiB
2025-02-26T22:41:27.493049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-6.0988
5-th percentile-2.280565
Q1-0.5722
median0.82835
Q32.2548
95-th percentile4.44454
Maximum6.8602
Range12.959
Interquartile range (IQR)2.827

Descriptive statistics

Standard deviation2.023983224
Coefficient of variation (CV)2.248511012
Kurtosis-0.2603955408
Mean0.90014379
Median Absolute Deviation (MAD)1.4118
Skewness0.1808004798
Sum9001.4379
Variance4.096508092
MonotonicityNot monotonic
2025-02-26T22:41:27.914860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1684 4
 
< 0.1%
0.2975 4
 
< 0.1%
2.0902 3
 
< 0.1%
0.0757 3
 
< 0.1%
-0.2732 3
 
< 0.1%
-0.1491 3
 
< 0.1%
0.891 3
 
< 0.1%
0.6312 3
 
< 0.1%
4.0397 3
 
< 0.1%
0.1797 3
 
< 0.1%
Other values (9310) 9968
99.7%
ValueCountFrequency (%)
-6.0988 1
< 0.1%
-5.4315 1
< 0.1%
-4.8261 1
< 0.1%
-4.7774 1
< 0.1%
-4.6819 1
< 0.1%
ValueCountFrequency (%)
6.8602 1
< 0.1%
6.6901 1
< 0.1%
6.6569 1
< 0.1%
6.6072 1
< 0.1%
6.6071 1
< 0.1%

var_63
Real number (ℝ)

Distinct9563
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.67718972
Minimum-9.5239
Maximum9.332
Zeros0
Zeros (%)0.0%
Negative4238
Negative (%)42.4%
Memory size156.2 KiB
2025-02-26T22:41:28.318071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.5239
5-th percentile-4.442265
Q1-1.60895
median0.7075
Q33.07375
95-th percentile5.642905
Maximum9.332
Range18.8559
Interquartile range (IQR)4.6827

Descriptive statistics

Standard deviation3.130535484
Coefficient of variation (CV)4.622833737
Kurtosis-0.5205232966
Mean0.67718972
Median Absolute Deviation (MAD)2.34255
Skewness-0.1106206622
Sum6771.8972
Variance9.800252416
MonotonicityNot monotonic
2025-02-26T22:41:28.739047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7939 3
 
< 0.1%
1.2272 3
 
< 0.1%
3.6109 3
 
< 0.1%
3.539 3
 
< 0.1%
2.3064 3
 
< 0.1%
0.3949 3
 
< 0.1%
-2.2197 3
 
< 0.1%
-2.1875 3
 
< 0.1%
4.8598 3
 
< 0.1%
2.5383 3
 
< 0.1%
Other values (9553) 9970
99.7%
ValueCountFrequency (%)
-9.5239 1
< 0.1%
-9.1182 1
< 0.1%
-8.7867 1
< 0.1%
-8.714 1
< 0.1%
-8.6373 1
< 0.1%
ValueCountFrequency (%)
9.332 1
< 0.1%
8.952 1
< 0.1%
8.802 1
< 0.1%
8.792 1
< 0.1%
8.7353 1
< 0.1%

var_64
Real number (ℝ)

Distinct9156
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.37438407
Minimum1.9331
Maximum10.4684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:29.171292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.9331
5-th percentile3.931455
Q15.30715
median6.3848
Q37.484125
95-th percentile8.733615
Maximum10.4684
Range8.5353
Interquartile range (IQR)2.176975

Descriptive statistics

Standard deviation1.480932216
Coefficient of variation (CV)0.2323255392
Kurtosis-0.5281000381
Mean6.37438407
Median Absolute Deviation (MAD)1.09165
Skewness-0.06847595536
Sum63743.8407
Variance2.193160229
MonotonicityNot monotonic
2025-02-26T22:41:29.564164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.3437 4
 
< 0.1%
5.3863 4
 
< 0.1%
6.4451 3
 
< 0.1%
7.1219 3
 
< 0.1%
6.8034 3
 
< 0.1%
5.2853 3
 
< 0.1%
6.2998 3
 
< 0.1%
7.1645 3
 
< 0.1%
5.6073 3
 
< 0.1%
5.4516 3
 
< 0.1%
Other values (9146) 9968
99.7%
ValueCountFrequency (%)
1.9331 1
< 0.1%
2.0998 1
< 0.1%
2.2389 1
< 0.1%
2.3006 1
< 0.1%
2.3171 1
< 0.1%
ValueCountFrequency (%)
10.4684 1
< 0.1%
10.4609 1
< 0.1%
10.3851 1
< 0.1%
10.3372 1
< 0.1%
10.3351 1
< 0.1%

var_65
Real number (ℝ)

Distinct9639
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98905619
Minimum-11.9014
Maximum13.6304
Zeros0
Zeros (%)0.0%
Negative3978
Negative (%)39.8%
Memory size156.2 KiB
2025-02-26T22:41:29.951817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-11.9014
5-th percentile-5.33147
Q1-1.717925
median1.01455
Q33.704875
95-th percentile7.242435
Maximum13.6304
Range25.5318
Interquartile range (IQR)5.4228

Descriptive statistics

Standard deviation3.79138226
Coefficient of variation (CV)3.833333534
Kurtosis-0.4702031226
Mean0.98905619
Median Absolute Deviation (MAD)2.7174
Skewness-0.05963822045
Sum9890.5619
Variance14.37457944
MonotonicityNot monotonic
2025-02-26T22:41:30.348420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.9955 3
 
< 0.1%
-2.2985 3
 
< 0.1%
7.2721 3
 
< 0.1%
-3.2219 3
 
< 0.1%
-3.0314 3
 
< 0.1%
0.4949 3
 
< 0.1%
3.7495 3
 
< 0.1%
0.7682 2
 
< 0.1%
7.2047 2
 
< 0.1%
0.1993 2
 
< 0.1%
Other values (9629) 9973
99.7%
ValueCountFrequency (%)
-11.9014 1
< 0.1%
-11.3806 1
< 0.1%
-10.7253 1
< 0.1%
-10.5677 1
< 0.1%
-10.547 1
< 0.1%
ValueCountFrequency (%)
13.6304 1
< 0.1%
12.4043 1
< 0.1%
11.9713 1
< 0.1%
11.3269 1
< 0.1%
11.0124 1
< 0.1%

var_66
Real number (ℝ)

Distinct8898
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.78345913
Minimum2.2884
Maximum8.9313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:30.723460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.2884
5-th percentile3.99437
Q14.961375
median5.78405
Q36.56605
95-th percentile7.655505
Maximum8.9313
Range6.6429
Interquartile range (IQR)1.604675

Descriptive statistics

Standard deviation1.119642902
Coefficient of variation (CV)0.1935939853
Kurtosis-0.4490406791
Mean5.78345913
Median Absolute Deviation (MAD)0.80055
Skewness0.05807239762
Sum57834.5913
Variance1.253600227
MonotonicityNot monotonic
2025-02-26T22:41:31.151174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5033 4
 
< 0.1%
6.2721 4
 
< 0.1%
6.017 4
 
< 0.1%
6.0722 4
 
< 0.1%
5.9825 4
 
< 0.1%
5.2196 3
 
< 0.1%
6.1998 3
 
< 0.1%
7.8045 3
 
< 0.1%
6.6367 3
 
< 0.1%
5.9903 3
 
< 0.1%
Other values (8888) 9965
99.7%
ValueCountFrequency (%)
2.2884 1
< 0.1%
2.3417 1
< 0.1%
2.362 1
< 0.1%
2.479 1
< 0.1%
2.5185 1
< 0.1%
ValueCountFrequency (%)
8.9313 1
< 0.1%
8.9291 1
< 0.1%
8.9062 1
< 0.1%
8.8749 1
< 0.1%
8.8673 1
< 0.1%

var_67
Real number (ℝ)

Distinct9794
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06381456
Minimum-13.2748
Maximum35.8555
Zeros0
Zeros (%)0.0%
Negative478
Negative (%)4.8%
Memory size156.2 KiB
2025-02-26T22:41:31.560065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-13.2748
5-th percentile0.14593
Q16.92845
median12.0519
Q317.06555
95-th percentile24.2443
Maximum35.8555
Range49.1303
Interquartile range (IQR)10.1371

Descriptive statistics

Standard deviation7.332198004
Coefficient of variation (CV)0.607784376
Kurtosis-0.265612009
Mean12.06381456
Median Absolute Deviation (MAD)5.06855
Skewness0.01790340883
Sum120638.1456
Variance53.76112757
MonotonicityNot monotonic
2025-02-26T22:41:31.951210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.7664 3
 
< 0.1%
11.2919 3
 
< 0.1%
0.7536 2
 
< 0.1%
15.957 2
 
< 0.1%
11.328 2
 
< 0.1%
26.0587 2
 
< 0.1%
15.3789 2
 
< 0.1%
1.8701 2
 
< 0.1%
3.2891 2
 
< 0.1%
24.8258 2
 
< 0.1%
Other values (9784) 9978
99.8%
ValueCountFrequency (%)
-13.2748 1
< 0.1%
-12.0514 1
< 0.1%
-11.4272 1
< 0.1%
-10.7038 1
< 0.1%
-10.2403 1
< 0.1%
ValueCountFrequency (%)
35.8555 1
< 0.1%
35.696 1
< 0.1%
35.6606 1
< 0.1%
35.3833 1
< 0.1%
34.541 1
< 0.1%

var_68
Real number (ℝ)

Distinct385
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.01893981
Minimum4.9985
Maximum5.0422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:32.357887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.9985
5-th percentile5.0063
Q15.014
median5.0192
Q35.0241
95-th percentile5.0304
Maximum5.0422
Range0.0437
Interquartile range (IQR)0.0101

Descriptive statistics

Standard deviation0.007203030927
Coefficient of variation (CV)0.001435169817
Kurtosis-0.2832650398
Mean5.01893981
Median Absolute Deviation (MAD)0.005
Skewness-0.1542835746
Sum50189.3981
Variance5.188365453 × 10-5
MonotonicityNot monotonic
2025-02-26T22:41:32.764550image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0185 73
 
0.7%
5.0203 70
 
0.7%
5.0207 66
 
0.7%
5.0219 66
 
0.7%
5.019 65
 
0.7%
5.0168 64
 
0.6%
5.0211 62
 
0.6%
5.0202 60
 
0.6%
5.0232 60
 
0.6%
5.0165 60
 
0.6%
Other values (375) 9354
93.5%
ValueCountFrequency (%)
4.9985 1
 
< 0.1%
4.9997 1
 
< 0.1%
5.0002 1
 
< 0.1%
5.0004 3
< 0.1%
5.0006 3
< 0.1%
ValueCountFrequency (%)
5.0422 1
< 0.1%
5.0418 1
< 0.1%
5.0404 1
< 0.1%
5.0398 1
< 0.1%
5.0391 1
< 0.1%

var_69
Real number (ℝ)

Distinct9654
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.31497954
Minimum-14.6028
Maximum7.863
Zeros0
Zeros (%)0.0%
Negative7839
Negative (%)78.4%
Memory size156.2 KiB
2025-02-26T22:41:33.213320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-14.6028
5-th percentile-9.56873
Q1-6.2782
median-3.34005
Q3-0.460575
95-th percentile3.201385
Maximum7.863
Range22.4658
Interquartile range (IQR)5.817625

Descriptive statistics

Standard deviation3.949220073
Coefficient of variation (CV)-1.191325625
Kurtosis-0.4786671436
Mean-3.31497954
Median Absolute Deviation (MAD)2.8991
Skewness0.0979523192
Sum-33149.7954
Variance15.59633919
MonotonicityNot monotonic
2025-02-26T22:41:33.634891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6776 3
 
< 0.1%
1.2433 3
 
< 0.1%
-2.2681 3
 
< 0.1%
-4.2645 3
 
< 0.1%
-4.0012 3
 
< 0.1%
-4.1473 3
 
< 0.1%
-3.4988 3
 
< 0.1%
-1.458 3
 
< 0.1%
-0.0226 3
 
< 0.1%
-3.1579 3
 
< 0.1%
Other values (9644) 9970
99.7%
ValueCountFrequency (%)
-14.6028 1
< 0.1%
-14.3536 1
< 0.1%
-14.0374 1
< 0.1%
-13.9735 1
< 0.1%
-13.9479 1
< 0.1%
ValueCountFrequency (%)
7.863 1
< 0.1%
7.0487 1
< 0.1%
6.9724 1
< 0.1%
6.966 1
< 0.1%
6.9565 1
< 0.1%

var_70
Real number (ℝ)

Distinct9842
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.42055469
Minimum-9.4126
Maximum58.7032
Zeros0
Zeros (%)0.0%
Negative101
Negative (%)1.0%
Memory size156.2 KiB
2025-02-26T22:41:34.038877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.4126
5-th percentile5.111475
Q115.33815
median24.4833
Q333.613175
95-th percentile43.625145
Maximum58.7032
Range68.1158
Interquartile range (IQR)18.275025

Descriptive statistics

Standard deviation11.85166787
Coefficient of variation (CV)0.4853152607
Kurtosis-0.7235926559
Mean24.42055469
Median Absolute Deviation (MAD)9.13745
Skewness-0.01490393229
Sum244205.5469
Variance140.4620312
MonotonicityNot monotonic
2025-02-26T22:41:34.445563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.5899 3
 
< 0.1%
10.8758 2
 
< 0.1%
26.0046 2
 
< 0.1%
24.6385 2
 
< 0.1%
31.1132 2
 
< 0.1%
20.646 2
 
< 0.1%
28.93 2
 
< 0.1%
23.1341 2
 
< 0.1%
11.6836 2
 
< 0.1%
9.4039 2
 
< 0.1%
Other values (9832) 9979
99.8%
ValueCountFrequency (%)
-9.4126 1
< 0.1%
-8.6967 1
< 0.1%
-8.1413 1
< 0.1%
-7.5426 1
< 0.1%
-6.9471 1
< 0.1%
ValueCountFrequency (%)
58.7032 1
< 0.1%
57.5996 1
< 0.1%
55.1854 1
< 0.1%
54.7725 1
< 0.1%
54.4632 1
< 0.1%

var_71
Real number (ℝ)

Distinct6315
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.67218269
Minimum-0.2179
Maximum1.4462
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)0.1%
Memory size156.2 KiB
2025-02-26T22:41:34.845971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.2179
5-th percentile0.2469
Q10.474875
median0.6702
Q30.866425
95-th percentile1.109215
Maximum1.4462
Range1.6641
Interquartile range (IQR)0.39155

Descriptive statistics

Standard deviation0.2644318765
Coefficient of variation (CV)0.3933928684
Kurtosis-0.5195322816
Mean0.67218269
Median Absolute Deviation (MAD)0.1959
Skewness0.04411698131
Sum6721.8269
Variance0.06992421731
MonotonicityNot monotonic
2025-02-26T22:41:35.311210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4901 6
 
0.1%
0.698 6
 
0.1%
0.4164 6
 
0.1%
0.8928 6
 
0.1%
0.5085 6
 
0.1%
0.7848 6
 
0.1%
0.7219 5
 
0.1%
0.6612 5
 
0.1%
0.769 5
 
0.1%
0.3889 5
 
0.1%
Other values (6305) 9944
99.4%
ValueCountFrequency (%)
-0.2179 1
< 0.1%
-0.1229 1
< 0.1%
-0.1165 1
< 0.1%
-0.1023 1
< 0.1%
-0.0818 1
< 0.1%
ValueCountFrequency (%)
1.4462 1
< 0.1%
1.4354 1
< 0.1%
1.4331 1
< 0.1%
1.4238 1
< 0.1%
1.4219 1
< 0.1%

var_72
Real number (ℝ)

Distinct9619
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68091186
Minimum-12.3834
Maximum13.1956
Zeros0
Zeros (%)0.0%
Negative4348
Negative (%)43.5%
Memory size156.2 KiB
2025-02-26T22:41:35.727559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-12.3834
5-th percentile-5.863015
Q1-2.174225
median0.66865
Q33.586125
95-th percentile7.093825
Maximum13.1956
Range25.579
Interquartile range (IQR)5.76035

Descriptive statistics

Standard deviation3.955065384
Coefficient of variation (CV)5.808483617
Kurtosis-0.4395594685
Mean0.68091186
Median Absolute Deviation (MAD)2.8844
Skewness-0.01896080034
Sum6809.1186
Variance15.64254219
MonotonicityNot monotonic
2025-02-26T22:41:36.132925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1689 3
 
< 0.1%
-4.6511 3
 
< 0.1%
0.163 3
 
< 0.1%
-0.2683 3
 
< 0.1%
-1.5084 3
 
< 0.1%
1.7052 3
 
< 0.1%
2.7389 3
 
< 0.1%
1.6953 3
 
< 0.1%
-1.9664 3
 
< 0.1%
1.9854 3
 
< 0.1%
Other values (9609) 9970
99.7%
ValueCountFrequency (%)
-12.3834 1
< 0.1%
-11.3685 1
< 0.1%
-11.2665 1
< 0.1%
-11.1634 1
< 0.1%
-10.9799 1
< 0.1%
ValueCountFrequency (%)
13.1956 1
< 0.1%
13.0056 1
< 0.1%
12.7062 1
< 0.1%
12.5609 1
< 0.1%
12.2194 1
< 0.1%

var_73
Real number (ℝ)

Distinct9853
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.6181759
Minimum1.0599
Maximum41.7851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:36.524170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.0599
5-th percentile7.795205
Q114.1543
median19.2429
Q325.1887
95-th percentile32.03811
Maximum41.7851
Range40.7252
Interquartile range (IQR)11.0344

Descriptive statistics

Standard deviation7.404548338
Coefficient of variation (CV)0.377433069
Kurtosis-0.6000102195
Mean19.6181759
Median Absolute Deviation (MAD)5.46485
Skewness0.09292811378
Sum196181.759
Variance54.82733609
MonotonicityNot monotonic
2025-02-26T22:41:36.954891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.9422 2
 
< 0.1%
24.0976 2
 
< 0.1%
18.0325 2
 
< 0.1%
19.9051 2
 
< 0.1%
13.7602 2
 
< 0.1%
28.8594 2
 
< 0.1%
16.6543 2
 
< 0.1%
26.0222 2
 
< 0.1%
21.7422 2
 
< 0.1%
25.5064 2
 
< 0.1%
Other values (9843) 9980
99.8%
ValueCountFrequency (%)
1.0599 1
< 0.1%
1.0977 1
< 0.1%
1.4438 1
< 0.1%
1.5291 1
< 0.1%
1.7983 1
< 0.1%
ValueCountFrequency (%)
41.7851 1
< 0.1%
41.509 1
< 0.1%
40.8207 1
< 0.1%
40.5454 1
< 0.1%
40.4848 1
< 0.1%

var_74
Real number (ℝ)

Distinct9898
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.50932442
Minimum-29.9738
Maximum65.557
Zeros0
Zeros (%)0.0%
Negative898
Negative (%)9.0%
Memory size156.2 KiB
2025-02-26T22:41:37.377655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-29.9738
5-th percentile-4.324595
Q19.375175
median19.6171
Q329.851375
95-th percentile42.7015
Maximum65.557
Range95.5308
Interquartile range (IQR)20.4762

Descriptive statistics

Standard deviation14.23460157
Coefficient of variation (CV)0.7296306765
Kurtosis-0.4206682552
Mean19.50932442
Median Absolute Deviation (MAD)10.23745
Skewness-0.05992854506
Sum195093.2442
Variance202.623882
MonotonicityNot monotonic
2025-02-26T22:41:37.780925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.6694 3
 
< 0.1%
43.9636 2
 
< 0.1%
11.965 2
 
< 0.1%
15.206 2
 
< 0.1%
12.8788 2
 
< 0.1%
33.9659 2
 
< 0.1%
45.5972 2
 
< 0.1%
31.5427 2
 
< 0.1%
12.6224 2
 
< 0.1%
3.9258 2
 
< 0.1%
Other values (9888) 9979
99.8%
ValueCountFrequency (%)
-29.9738 1
< 0.1%
-24.6333 1
< 0.1%
-24.1669 1
< 0.1%
-23.4678 1
< 0.1%
-22.7955 1
< 0.1%
ValueCountFrequency (%)
65.557 1
< 0.1%
65.5335 1
< 0.1%
60.2405 1
< 0.1%
60.1142 1
< 0.1%
60.0797 1
< 0.1%

var_75
Real number (ℝ)

Distinct9738
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.85831224
Minimum0.9952
Maximum34.2578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:38.179202image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.9952
5-th percentile6.671885
Q112.556775
median16.7798
Q321.4788
95-th percentile26.56034
Maximum34.2578
Range33.2626
Interquartile range (IQR)8.922025

Descriptive statistics

Standard deviation6.071548125
Coefficient of variation (CV)0.3601515999
Kurtosis-0.5184407129
Mean16.85831224
Median Absolute Deviation (MAD)4.44775
Skewness-0.06169882266
Sum168583.1224
Variance36.86369663
MonotonicityNot monotonic
2025-02-26T22:41:38.586327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.9198 3
 
< 0.1%
23.8991 3
 
< 0.1%
10.2052 3
 
< 0.1%
18.6232 3
 
< 0.1%
14.5991 3
 
< 0.1%
15.3461 3
 
< 0.1%
15.8245 3
 
< 0.1%
16.6319 2
 
< 0.1%
19.4411 2
 
< 0.1%
12.6146 2
 
< 0.1%
Other values (9728) 9973
99.7%
ValueCountFrequency (%)
0.9952 1
< 0.1%
1.2927 1
< 0.1%
1.305 1
< 0.1%
1.3776 1
< 0.1%
1.4663 1
< 0.1%
ValueCountFrequency (%)
34.2578 1
< 0.1%
32.7013 1
< 0.1%
32.6128 1
< 0.1%
32.4319 1
< 0.1%
32.3241 1
< 0.1%

var_76
Real number (ℝ)

Distinct9783
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.09854892
Minimum-17.8386
Maximum29.5694
Zeros0
Zeros (%)0.0%
Negative2260
Negative (%)22.6%
Memory size156.2 KiB
2025-02-26T22:41:38.992195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-17.8386
5-th percentile-7.64602
Q10.5627
median6.38075
Q311.937725
95-th percentile18.580855
Maximum29.5694
Range47.408
Interquartile range (IQR)11.375025

Descriptive statistics

Standard deviation7.990980334
Coefficient of variation (CV)1.310308475
Kurtosis-0.3451198622
Mean6.09854892
Median Absolute Deviation (MAD)5.69865
Skewness-0.1494061342
Sum60985.4892
Variance63.85576669
MonotonicityNot monotonic
2025-02-26T22:41:39.391381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.759 3
 
< 0.1%
2.7862 3
 
< 0.1%
8.9479 2
 
< 0.1%
6.24 2
 
< 0.1%
-1.3467 2
 
< 0.1%
12.0697 2
 
< 0.1%
9.1156 2
 
< 0.1%
9.3942 2
 
< 0.1%
15.4592 2
 
< 0.1%
11.2613 2
 
< 0.1%
Other values (9773) 9978
99.8%
ValueCountFrequency (%)
-17.8386 1
< 0.1%
-17.8195 1
< 0.1%
-17.3804 1
< 0.1%
-17.0511 1
< 0.1%
-16.9018 1
< 0.1%
ValueCountFrequency (%)
29.5694 1
< 0.1%
29.3239 1
< 0.1%
29.124 1
< 0.1%
28.8835 1
< 0.1%
28.7507 1
< 0.1%

var_77
Real number (ℝ)

Distinct9628
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.01190336
Minimum8.7697
Maximum30.5553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:39.791149image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum8.7697
5-th percentile13.176245
Q115.98935
median18.81645
Q321.91005
95-th percentile25.346445
Maximum30.5553
Range21.7856
Interquartile range (IQR)5.9207

Descriptive statistics

Standard deviation3.78543471
Coefficient of variation (CV)0.1991086657
Kurtosis-0.7718066237
Mean19.01190336
Median Absolute Deviation (MAD)2.9582
Skewness0.1339740429
Sum190119.0336
Variance14.32951594
MonotonicityNot monotonic
2025-02-26T22:41:40.740641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.2345 3
 
< 0.1%
21.4737 3
 
< 0.1%
20.2672 3
 
< 0.1%
16.0605 3
 
< 0.1%
21.6086 3
 
< 0.1%
16.7266 3
 
< 0.1%
23.0272 3
 
< 0.1%
14.6736 3
 
< 0.1%
16.9527 3
 
< 0.1%
21.8907 3
 
< 0.1%
Other values (9618) 9970
99.7%
ValueCountFrequency (%)
8.7697 1
< 0.1%
8.8856 1
< 0.1%
9.2243 1
< 0.1%
9.6405 1
< 0.1%
9.7078 1
< 0.1%
ValueCountFrequency (%)
30.5553 1
< 0.1%
30.0313 1
< 0.1%
29.76 1
< 0.1%
29.722 1
< 0.1%
29.2953 1
< 0.1%

var_78
Real number (ℝ)

Distinct9321
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.31604958
Minimum-0.4268
Maximum11.0228
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)0.1%
Memory size156.2 KiB
2025-02-26T22:41:41.121086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.4268
5-th percentile2.03799
Q13.758525
median5.39085
Q36.860225
95-th percentile8.46997
Maximum11.0228
Range11.4496
Interquartile range (IQR)3.1017

Descriptive statistics

Standard deviation2.00401406
Coefficient of variation (CV)0.3769742983
Kurtosis-0.7031490161
Mean5.31604958
Median Absolute Deviation (MAD)1.53715
Skewness-0.04736299126
Sum53160.4958
Variance4.016072354
MonotonicityNot monotonic
2025-02-26T22:41:41.522860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3635 4
 
< 0.1%
7.2916 3
 
< 0.1%
6.3025 3
 
< 0.1%
6.6662 3
 
< 0.1%
2.7575 3
 
< 0.1%
4.9165 3
 
< 0.1%
6.1679 3
 
< 0.1%
5.901 3
 
< 0.1%
4.9441 3
 
< 0.1%
6.9696 3
 
< 0.1%
Other values (9311) 9969
99.7%
ValueCountFrequency (%)
-0.4268 1
< 0.1%
-0.3467 1
< 0.1%
-0.2691 1
< 0.1%
-0.1229 1
< 0.1%
-0.0722 1
< 0.1%
ValueCountFrequency (%)
11.0228 1
< 0.1%
10.8102 1
< 0.1%
10.7767 1
< 0.1%
10.6978 1
< 0.1%
10.6125 1
< 0.1%

var_79
Real number (ℝ)

Distinct9006
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.40286134
Minimum10.9798
Maximum17.9275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:41.912019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10.9798
5-th percentile12.30464
Q113.3779
median14.38835
Q315.3948
95-th percentile16.54663
Maximum17.9275
Range6.9477
Interquartile range (IQR)2.0169

Descriptive statistics

Standard deviation1.31820438
Coefficient of variation (CV)0.09152378469
Kurtosis-0.6571632047
Mean14.40286134
Median Absolute Deviation (MAD)1.00845
Skewness0.08322597772
Sum144028.6134
Variance1.737662788
MonotonicityNot monotonic
2025-02-26T22:41:42.324677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.7096 4
 
< 0.1%
14.6533 4
 
< 0.1%
13.1829 4
 
< 0.1%
13.1638 4
 
< 0.1%
14.3223 4
 
< 0.1%
15.2778 4
 
< 0.1%
14.1703 4
 
< 0.1%
14.0061 4
 
< 0.1%
13.2646 3
 
< 0.1%
16.4546 3
 
< 0.1%
Other values (8996) 9962
99.6%
ValueCountFrequency (%)
10.9798 1
< 0.1%
11.0201 1
< 0.1%
11.1146 1
< 0.1%
11.2119 1
< 0.1%
11.2446 1
< 0.1%
ValueCountFrequency (%)
17.9275 1
< 0.1%
17.8618 1
< 0.1%
17.8612 1
< 0.1%
17.8427 1
< 0.1%
17.8302 1
< 0.1%

var_80
Real number (ℝ)

Distinct9784
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.83165483
Minimum-18.0422
Maximum30.2443
Zeros0
Zeros (%)0.0%
Negative2220
Negative (%)22.2%
Memory size156.2 KiB
2025-02-26T22:41:42.741348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-18.0422
5-th percentile-6.83255
Q10.6707
median6.1512
Q311.544
95-th percentile17.16983
Maximum30.2443
Range48.2865
Interquartile range (IQR)10.8733

Descriptive statistics

Standard deviation7.427229168
Coefficient of variation (CV)1.273605758
Kurtosis-0.3766866024
Mean5.83165483
Median Absolute Deviation (MAD)5.4338
Skewness-0.2227109321
Sum58316.5483
Variance55.16373311
MonotonicityNot monotonic
2025-02-26T22:41:43.147904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.3385 3
 
< 0.1%
1.8048 3
 
< 0.1%
8.0974 3
 
< 0.1%
13.4039 3
 
< 0.1%
0.0454 2
 
< 0.1%
13.184 2
 
< 0.1%
7.7071 2
 
< 0.1%
6.3272 2
 
< 0.1%
12.0465 2
 
< 0.1%
10.4921 2
 
< 0.1%
Other values (9774) 9976
99.8%
ValueCountFrequency (%)
-18.0422 1
< 0.1%
-14.8303 1
< 0.1%
-14.5451 1
< 0.1%
-14.4948 1
< 0.1%
-14.4773 1
< 0.1%
ValueCountFrequency (%)
30.2443 1
< 0.1%
27.7549 1
< 0.1%
27.3496 1
< 0.1%
25.8192 1
< 0.1%
25.3388 1
< 0.1%

var_81
Real number (ℝ)

Distinct9424
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.72200943
Minimum8.8987
Maximum22.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:43.531180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum8.8987
5-th percentile10.513505
Q113.180875
median14.85835
Q316.351175
95-th percentile18.29698
Maximum22.336
Range13.4373
Interquartile range (IQR)3.1703

Descriptive statistics

Standard deviation2.312762166
Coefficient of variation (CV)0.1570955498
Kurtosis-0.2354670403
Mean14.72200943
Median Absolute Deviation (MAD)1.5706
Skewness-0.2315071459
Sum147220.0943
Variance5.348868835
MonotonicityNot monotonic
2025-02-26T22:41:43.960952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.5509 4
 
< 0.1%
15.1997 4
 
< 0.1%
15.0186 3
 
< 0.1%
14.6378 3
 
< 0.1%
14.7686 3
 
< 0.1%
16.9037 3
 
< 0.1%
16.2698 3
 
< 0.1%
15.8029 3
 
< 0.1%
13.1003 3
 
< 0.1%
14.6101 3
 
< 0.1%
Other values (9414) 9968
99.7%
ValueCountFrequency (%)
8.8987 1
< 0.1%
8.9543 1
< 0.1%
8.9748 1
< 0.1%
8.9833 1
< 0.1%
8.9975 1
< 0.1%
ValueCountFrequency (%)
22.336 1
< 0.1%
21.6866 1
< 0.1%
21.5484 1
< 0.1%
21.3483 1
< 0.1%
21.1434 1
< 0.1%

var_82
Real number (ℝ)

Distinct9835
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.65615816
Minimum-27.1792
Maximum16.8227
Zeros0
Zeros (%)0.0%
Negative6317
Negative (%)63.2%
Memory size156.2 KiB
2025-02-26T22:41:44.392385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-27.1792
5-th percentile-17.473
Q1-10.254675
median-3.4603
Q32.9933
95-th percentile9.874985
Maximum16.8227
Range44.0019
Interquartile range (IQR)13.247975

Descriptive statistics

Standard deviation8.524057171
Coefficient of variation (CV)-2.331424626
Kurtosis-0.7621147253
Mean-3.65615816
Median Absolute Deviation (MAD)6.5968
Skewness-0.02392812482
Sum-36561.5816
Variance72.65955065
MonotonicityNot monotonic
2025-02-26T22:41:44.783679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7195 3
 
< 0.1%
-3.6171 3
 
< 0.1%
-11.678 2
 
< 0.1%
9.0348 2
 
< 0.1%
-10.8419 2
 
< 0.1%
-6.4595 2
 
< 0.1%
-1.887 2
 
< 0.1%
0.5863 2
 
< 0.1%
-10.2798 2
 
< 0.1%
1.1915 2
 
< 0.1%
Other values (9825) 9978
99.8%
ValueCountFrequency (%)
-27.1792 1
< 0.1%
-26.9181 1
< 0.1%
-26.7119 1
< 0.1%
-26.3895 1
< 0.1%
-26.035 1
< 0.1%
ValueCountFrequency (%)
16.8227 1
< 0.1%
16.6744 1
< 0.1%
16.6387 1
< 0.1%
16.5909 1
< 0.1%
16.5245 1
< 0.1%

var_83
Real number (ℝ)

Distinct9834
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.13666087
Minimum-22.0743
Maximum23.2359
Zeros0
Zeros (%)0.0%
Negative4501
Negative (%)45.0%
Memory size156.2 KiB
2025-02-26T22:41:45.174396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-22.0743
5-th percentile-12.33007
Q1-4.9667
median1.12295
Q37.45195
95-th percentile14.363185
Maximum23.2359
Range45.3102
Interquartile range (IQR)12.41865

Descriptive statistics

Standard deviation8.256325217
Coefficient of variation (CV)7.263666266
Kurtosis-0.6176520659
Mean1.13666087
Median Absolute Deviation (MAD)6.23385
Skewness-0.06913376241
Sum11366.6087
Variance68.16690609
MonotonicityNot monotonic
2025-02-26T22:41:45.555496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2545 3
 
< 0.1%
-7.3629 3
 
< 0.1%
2.8379 2
 
< 0.1%
-0.2037 2
 
< 0.1%
12.2885 2
 
< 0.1%
5.6804 2
 
< 0.1%
11.1745 2
 
< 0.1%
5.8009 2
 
< 0.1%
12.5699 2
 
< 0.1%
-2.2422 2
 
< 0.1%
Other values (9824) 9978
99.8%
ValueCountFrequency (%)
-22.0743 1
< 0.1%
-21.147 1
< 0.1%
-20.309 1
< 0.1%
-20.2625 1
< 0.1%
-20.1243 1
< 0.1%
ValueCountFrequency (%)
23.2359 1
< 0.1%
22.54 1
< 0.1%
22.1668 1
< 0.1%
21.7543 1
< 0.1%
21.7025 1
< 0.1%

var_84
Real number (ℝ)

Distinct9766
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.55372866
Minimum-22.2707
Maximum15.6798
Zeros0
Zeros (%)0.0%
Negative6406
Negative (%)64.1%
Memory size156.2 KiB
2025-02-26T22:41:45.948156image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-22.2707
5-th percentile-12.71489
Q1-7.172925
median-2.50565
Q32.026375
95-th percentile7.69995
Maximum15.6798
Range37.9505
Interquartile range (IQR)9.1993

Descriptive statistics

Standard deviation6.225123269
Coefficient of variation (CV)-2.437660417
Kurtosis-0.5869259856
Mean-2.55372866
Median Absolute Deviation (MAD)4.5958
Skewness-0.003878042349
Sum-25537.2866
Variance38.75215972
MonotonicityNot monotonic
2025-02-26T22:41:46.361559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.3836 3
 
< 0.1%
-7.6974 3
 
< 0.1%
2.3256 3
 
< 0.1%
-5.0768 3
 
< 0.1%
3.4889 3
 
< 0.1%
-0.4332 3
 
< 0.1%
-1.1343 3
 
< 0.1%
-3.7561 2
 
< 0.1%
-3.2552 2
 
< 0.1%
-2.0718 2
 
< 0.1%
Other values (9756) 9973
99.7%
ValueCountFrequency (%)
-22.2707 1
< 0.1%
-20.8826 1
< 0.1%
-20.1604 1
< 0.1%
-19.6032 1
< 0.1%
-19.1759 1
< 0.1%
ValueCountFrequency (%)
15.6798 1
< 0.1%
14.6341 1
< 0.1%
13.9019 1
< 0.1%
13.731 1
< 0.1%
13.645 1
< 0.1%

var_85
Real number (ℝ)

Distinct9636
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.37196345
Minimum7.7798
Maximum30.745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:46.792778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7.7798
5-th percentile12.15395
Q115.35955
median18.35905
Q321.3419
95-th percentile24.60549
Maximum30.745
Range22.9652
Interquartile range (IQR)5.98235

Descriptive statistics

Standard deviation3.878952416
Coefficient of variation (CV)0.2111343421
Kurtosis-0.7374120927
Mean18.37196345
Median Absolute Deviation (MAD)2.99325
Skewness0.02602051908
Sum183719.6345
Variance15.04627184
MonotonicityNot monotonic
2025-02-26T22:41:47.235893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.5857 4
 
< 0.1%
19.0517 3
 
< 0.1%
17.4369 3
 
< 0.1%
20.541 3
 
< 0.1%
20.2179 3
 
< 0.1%
22.1078 3
 
< 0.1%
17.2552 3
 
< 0.1%
13.612 3
 
< 0.1%
17.6359 3
 
< 0.1%
17.7424 3
 
< 0.1%
Other values (9626) 9969
99.7%
ValueCountFrequency (%)
7.7798 1
< 0.1%
7.8454 1
< 0.1%
7.9429 1
< 0.1%
7.9788 1
< 0.1%
8.4043 1
< 0.1%
ValueCountFrequency (%)
30.745 1
< 0.1%
29.1056 1
< 0.1%
28.7455 1
< 0.1%
28.6871 1
< 0.1%
28.565 1
< 0.1%

var_86
Real number (ℝ)

Distinct9810
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.68641256
Minimum-16.9755
Maximum30.655
Zeros0
Zeros (%)0.0%
Negative2283
Negative (%)22.8%
Memory size156.2 KiB
2025-02-26T22:41:47.639266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-16.9755
5-th percentile-7.855305
Q10.52135
median6.06145
Q311.1341
95-th percentile17.83273
Maximum30.655
Range47.6305
Interquartile range (IQR)10.61275

Descriptive statistics

Standard deviation7.696681227
Coefficient of variation (CV)1.353521424
Kurtosis-0.1996685182
Mean5.68641256
Median Absolute Deviation (MAD)5.28475
Skewness-0.2062028713
Sum56864.1256
Variance59.23890191
MonotonicityNot monotonic
2025-02-26T22:41:48.035150image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8575 3
 
< 0.1%
-0.7263 3
 
< 0.1%
2.6108 2
 
< 0.1%
10.1906 2
 
< 0.1%
9.6364 2
 
< 0.1%
13.1817 2
 
< 0.1%
16.5372 2
 
< 0.1%
8.1371 2
 
< 0.1%
11.319 2
 
< 0.1%
2.7058 2
 
< 0.1%
Other values (9800) 9978
99.8%
ValueCountFrequency (%)
-16.9755 1
< 0.1%
-16.0995 1
< 0.1%
-15.9012 1
< 0.1%
-15.778 1
< 0.1%
-15.4171 1
< 0.1%
ValueCountFrequency (%)
30.655 1
< 0.1%
28.5635 1
< 0.1%
28.5137 1
< 0.1%
27.9361 1
< 0.1%
27.2366 1
< 0.1%

var_87
Real number (ℝ)

Distinct9733
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.27949371
Minimum-4.8847
Maximum29.3721
Zeros0
Zeros (%)0.0%
Negative157
Negative (%)1.6%
Memory size156.2 KiB
2025-02-26T22:41:48.411422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.8847
5-th percentile2.0297
Q17.0739
median11.19215
Q315.4107
95-th percentile20.689555
Maximum29.3721
Range34.2568
Interquartile range (IQR)8.3368

Descriptive statistics

Standard deviation5.713465375
Coefficient of variation (CV)0.5065356231
Kurtosis-0.5055570881
Mean11.27949371
Median Absolute Deviation (MAD)4.18315
Skewness0.08474941905
Sum112794.9371
Variance32.64368659
MonotonicityNot monotonic
2025-02-26T22:41:48.826658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.6815 3
 
< 0.1%
11.3821 3
 
< 0.1%
12.527 3
 
< 0.1%
10.6594 3
 
< 0.1%
17.81 3
 
< 0.1%
11.87 2
 
< 0.1%
1.9197 2
 
< 0.1%
17.7913 2
 
< 0.1%
10.7638 2
 
< 0.1%
12.5823 2
 
< 0.1%
Other values (9723) 9975
99.8%
ValueCountFrequency (%)
-4.8847 1
< 0.1%
-4.6223 1
< 0.1%
-4.5236 1
< 0.1%
-3.7513 1
< 0.1%
-3.6694 1
< 0.1%
ValueCountFrequency (%)
29.3721 1
< 0.1%
29.2053 1
< 0.1%
28.7532 1
< 0.1%
28.6826 1
< 0.1%
28.6667 1
< 0.1%

var_88
Real number (ℝ)

Distinct9466
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.65926458
Minimum2.1185
Maximum16.0032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:49.239190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.1185
5-th percentile4.599195
Q16.89905
median8.57415
Q310.517475
95-th percentile12.713515
Maximum16.0032
Range13.8847
Interquartile range (IQR)3.618425

Descriptive statistics

Standard deviation2.472280614
Coefficient of variation (CV)0.2855069955
Kurtosis-0.5028230564
Mean8.65926458
Median Absolute Deviation (MAD)1.79235
Skewness0.004257000309
Sum86592.6458
Variance6.112171432
MonotonicityNot monotonic
2025-02-26T22:41:49.638122image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.991 4
 
< 0.1%
9.3647 3
 
< 0.1%
10.9343 3
 
< 0.1%
10.7615 3
 
< 0.1%
9.4198 3
 
< 0.1%
9.6959 3
 
< 0.1%
8.5496 3
 
< 0.1%
9.6379 3
 
< 0.1%
7.851 3
 
< 0.1%
8.6205 3
 
< 0.1%
Other values (9456) 9969
99.7%
ValueCountFrequency (%)
2.1185 1
< 0.1%
2.3002 1
< 0.1%
2.4187 1
< 0.1%
2.4363 1
< 0.1%
2.5027 1
< 0.1%
ValueCountFrequency (%)
16.0032 1
< 0.1%
15.6174 1
< 0.1%
15.4784 1
< 0.1%
15.41 1
< 0.1%
15.4031 1
< 0.1%

var_89
Real number (ℝ)

Distinct9603
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.70463169
Minimum-7.7012
Maximum15.1006
Zeros0
Zeros (%)0.0%
Negative1585
Negative (%)15.8%
Memory size156.2 KiB
2025-02-26T22:41:50.051320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.7012
5-th percentile-1.897685
Q11.123725
median3.64065
Q36.132125
95-th percentile9.83063
Maximum15.1006
Range22.8018
Interquartile range (IQR)5.0084

Descriptive statistics

Standard deviation3.544824453
Coefficient of variation (CV)0.9568628544
Kurtosis-0.3130635391
Mean3.70463169
Median Absolute Deviation (MAD)2.50835
Skewness0.1548560835
Sum37046.3169
Variance12.56578041
MonotonicityNot monotonic
2025-02-26T22:41:50.465415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7847 3
 
< 0.1%
1.7547 3
 
< 0.1%
-0.0259 3
 
< 0.1%
4.9169 3
 
< 0.1%
6.8823 3
 
< 0.1%
4.2294 3
 
< 0.1%
6.6413 3
 
< 0.1%
2.0564 3
 
< 0.1%
4.5232 2
 
< 0.1%
5.6473 2
 
< 0.1%
Other values (9593) 9972
99.7%
ValueCountFrequency (%)
-7.7012 1
< 0.1%
-7.3599 1
< 0.1%
-7.2216 1
< 0.1%
-6.8319 1
< 0.1%
-6.771 1
< 0.1%
ValueCountFrequency (%)
15.1006 1
< 0.1%
13.5475 1
< 0.1%
12.7562 1
< 0.1%
12.7263 1
< 0.1%
12.7114 1
< 0.1%

var_90
Real number (ℝ)

Distinct9872
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16.64895165
Minimum-54.9181
Maximum21.8372
Zeros0
Zeros (%)0.0%
Negative8837
Negative (%)88.4%
Memory size156.2 KiB
2025-02-26T22:41:50.849900image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-54.9181
5-th percentile-38.12866
Q1-26.70975
median-16.67785
Q3-6.5236
95-th percentile4.6724
Maximum21.8372
Range76.7553
Interquartile range (IQR)20.18615

Descriptive statistics

Standard deviation13.18990832
Coefficient of variation (CV)-0.7922365679
Kurtosis-0.739250206
Mean-16.64895165
Median Absolute Deviation (MAD)10.08075
Skewness-0.01095185174
Sum-166489.5165
Variance173.9736814
MonotonicityNot monotonic
2025-02-26T22:41:51.282360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-18.9427 2
 
< 0.1%
-38.5482 2
 
< 0.1%
-28.5328 2
 
< 0.1%
-16.0449 2
 
< 0.1%
-6.399 2
 
< 0.1%
-37.289 2
 
< 0.1%
-19.4751 2
 
< 0.1%
-0.0058 2
 
< 0.1%
4.0657 2
 
< 0.1%
-22.8078 2
 
< 0.1%
Other values (9862) 9980
99.8%
ValueCountFrequency (%)
-54.9181 1
< 0.1%
-53.0234 1
< 0.1%
-51.9425 1
< 0.1%
-51.7458 1
< 0.1%
-51.5267 1
< 0.1%
ValueCountFrequency (%)
21.8372 1
< 0.1%
20.1994 1
< 0.1%
17.4537 1
< 0.1%
16.9748 1
< 0.1%
16.6451 1
< 0.1%

var_91
Real number (ℝ)

Distinct4873
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.99197016
Minimum6.5321
Maximum7.4794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:51.708831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.5321
5-th percentile6.74589
Q16.8716
median6.9911
Q37.1087
95-th percentile7.244305
Maximum7.4794
Range0.9473
Interquartile range (IQR)0.2371

Descriptive statistics

Standard deviation0.154484301
Coefficient of variation (CV)0.02209453094
Kurtosis-0.6636323915
Mean6.99197016
Median Absolute Deviation (MAD)0.1186
Skewness0.04627957042
Sum69919.7016
Variance0.02386539926
MonotonicityNot monotonic
2025-02-26T22:41:52.107640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0981 8
 
0.1%
6.9266 8
 
0.1%
7.0242 8
 
0.1%
7.1529 8
 
0.1%
6.8955 8
 
0.1%
7.1732 7
 
0.1%
7.1139 7
 
0.1%
6.8779 7
 
0.1%
6.982 7
 
0.1%
7.0573 7
 
0.1%
Other values (4863) 9925
99.2%
ValueCountFrequency (%)
6.5321 1
< 0.1%
6.5914 1
< 0.1%
6.5945 1
< 0.1%
6.5994 1
< 0.1%
6.6027 1
< 0.1%
ValueCountFrequency (%)
7.4794 1
< 0.1%
7.4524 1
< 0.1%
7.4484 1
< 0.1%
7.4329 1
< 0.1%
7.4252 1
< 0.1%

var_92
Real number (ℝ)

Distinct9662
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.73310788
Minimum2.0859
Maximum26.9976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:52.490103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.0859
5-th percentile5.91993
Q19.672575
median12.65965
Q315.819925
95-th percentile19.6789
Maximum26.9976
Range24.9117
Interquartile range (IQR)6.14735

Descriptive statistics

Standard deviation4.172576652
Coefficient of variation (CV)0.327695068
Kurtosis-0.555990806
Mean12.73310788
Median Absolute Deviation (MAD)3.0693
Skewness0.04910575555
Sum127331.0788
Variance17.41039592
MonotonicityNot monotonic
2025-02-26T22:41:52.892782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.406 3
 
< 0.1%
15.9503 3
 
< 0.1%
16.1136 3
 
< 0.1%
13.7772 3
 
< 0.1%
8.3615 3
 
< 0.1%
14.1613 3
 
< 0.1%
11.4293 3
 
< 0.1%
16.2575 2
 
< 0.1%
12.6768 2
 
< 0.1%
17.0469 2
 
< 0.1%
Other values (9652) 9973
99.7%
ValueCountFrequency (%)
2.0859 1
< 0.1%
2.328 1
< 0.1%
2.7072 1
< 0.1%
2.7297 1
< 0.1%
2.7446 1
< 0.1%
ValueCountFrequency (%)
26.9976 1
< 0.1%
25.0217 1
< 0.1%
24.8804 1
< 0.1%
24.6846 1
< 0.1%
24.5391 1
< 0.1%

var_93
Real number (ℝ)

Distinct7804
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.55868767
Minimum8.5204
Maximum12.3165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:53.285281image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum8.5204
5-th percentile9.623695
Q110.195225
median10.58105
Q310.941325
95-th percentile11.403125
Maximum12.3165
Range3.7961
Interquartile range (IQR)0.7461

Descriptive statistics

Standard deviation0.5374085446
Coefficient of variation (CV)0.05089728585
Kurtosis-0.1329860619
Mean10.55868767
Median Absolute Deviation (MAD)0.3717
Skewness-0.2290486826
Sum105586.8767
Variance0.2888079438
MonotonicityNot monotonic
2025-02-26T22:41:53.709529image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.8648 5
 
0.1%
10.484 5
 
0.1%
10.1036 5
 
0.1%
10.6602 5
 
0.1%
10.3742 4
 
< 0.1%
10.6629 4
 
< 0.1%
10.093 4
 
< 0.1%
10.8679 4
 
< 0.1%
11.2707 4
 
< 0.1%
10.6782 4
 
< 0.1%
Other values (7794) 9956
99.6%
ValueCountFrequency (%)
8.5204 1
< 0.1%
8.676 1
< 0.1%
8.7693 1
< 0.1%
8.7772 1
< 0.1%
8.8191 1
< 0.1%
ValueCountFrequency (%)
12.3165 1
< 0.1%
12.2598 1
< 0.1%
12.2564 1
< 0.1%
12.1961 1
< 0.1%
12.1416 1
< 0.1%

var_94
Real number (ℝ)

Distinct9493
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.94792156
Minimum3.1963
Maximum18.0548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:41:54.127903image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.1963
5-th percentile6.612535
Q18.791475
median10.9306
Q313.04375
95-th percentile15.45856
Maximum18.0548
Range14.8585
Interquartile range (IQR)4.252275

Descriptive statistics

Standard deviation2.768550516
Coefficient of variation (CV)0.2528836638
Kurtosis-0.7055873252
Mean10.94792156
Median Absolute Deviation (MAD)2.1299
Skewness0.08156375226
Sum109479.2156
Variance7.664871957
MonotonicityNot monotonic
2025-02-26T22:41:54.535347image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0831 3
 
< 0.1%
11.5576 3
 
< 0.1%
7.6772 3
 
< 0.1%
11.523 3
 
< 0.1%
8.27 3
 
< 0.1%
11.261 3
 
< 0.1%
13.9446 3
 
< 0.1%
10.2034 3
 
< 0.1%
9.4844 3
 
< 0.1%
9.6901 3
 
< 0.1%
Other values (9483) 9970
99.7%
ValueCountFrequency (%)
3.1963 1
< 0.1%
3.6728 1
< 0.1%
3.8754 1
< 0.1%
4.0319 1
< 0.1%
4.0726 1
< 0.1%
ValueCountFrequency (%)
18.0548 1
< 0.1%
17.9744 1
< 0.1%
17.9706 1
< 0.1%
17.9598 1
< 0.1%
17.9515 1
< 0.1%

var_95
Real number (ℝ)

Distinct8080
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08612963
Minimum-2.1697
Maximum1.7275
Zeros0
Zeros (%)0.0%
Negative5615
Negative (%)56.1%
Memory size156.2 KiB
2025-02-26T22:41:54.960009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.1697
5-th percentile-1.065515
Q1-0.519825
median-0.10345
Q30.317725
95-th percentile1.00902
Maximum1.7275
Range3.8972
Interquartile range (IQR)0.83755

Descriptive statistics

Standard deviation0.6141896724
Coefficient of variation (CV)-7.130991651
Kurtosis-0.2333326768
Mean-0.08612963
Median Absolute Deviation (MAD)0.4187
Skewness0.1641188773
Sum-861.2963
Variance0.3772289537
MonotonicityNot monotonic
2025-02-26T22:41:55.422875image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.403 5
 
0.1%
-0.2672 5
 
0.1%
-0.5141 5
 
0.1%
-0.4934 5
 
0.1%
-0.5028 4
 
< 0.1%
-0.3276 4
 
< 0.1%
-0.1333 4
 
< 0.1%
0.2246 4
 
< 0.1%
-0.0218 4
 
< 0.1%
-0.2612 4
 
< 0.1%
Other values (8070) 9956
99.6%
ValueCountFrequency (%)
-2.1697 1
< 0.1%
-2.1341 1
< 0.1%
-1.9577 1
< 0.1%
-1.9456 1
< 0.1%
-1.9334 1
< 0.1%
ValueCountFrequency (%)
1.7275 1
< 0.1%
1.5329 1
< 0.1%
1.5287 1
< 0.1%
1.5149 1
< 0.1%
1.5099 1
< 0.1%

var_96
Real number (ℝ)

Distinct9827
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.30792994
Minimum-9.0006
Maximum39.3681
Zeros0
Zeros (%)0.0%
Negative379
Negative (%)3.8%
Memory size156.2 KiB
2025-02-26T22:41:55.840776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.0006
5-th percentile0.769365
Q17.80905
median14.28945
Q320.81755
95-th percentile28.197215
Maximum39.3681
Range48.3687
Interquartile range (IQR)13.0085

Descriptive statistics

Standard deviation8.539990257
Coefficient of variation (CV)0.5968711262
Kurtosis-0.6527668992
Mean14.30792994
Median Absolute Deviation (MAD)6.4985
Skewness0.05447004997
Sum143079.2994
Variance72.9314336
MonotonicityNot monotonic
2025-02-26T22:41:56.249860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.6273 3
 
< 0.1%
21.6669 3
 
< 0.1%
11.8967 3
 
< 0.1%
21.5994 3
 
< 0.1%
23.7078 2
 
< 0.1%
10.8583 2
 
< 0.1%
13.882 2
 
< 0.1%
16.3683 2
 
< 0.1%
17.2021 2
 
< 0.1%
0.1037 2
 
< 0.1%
Other values (9817) 9976
99.8%
ValueCountFrequency (%)
-9.0006 1
< 0.1%
-8.357 1
< 0.1%
-8.0394 1
< 0.1%
-7.8257 1
< 0.1%
-7.5504 1
< 0.1%
ValueCountFrequency (%)
39.3681 1
< 0.1%
39.0443 1
< 0.1%
38.4277 1
< 0.1%
38.0692 1
< 0.1%
38.0542 1
< 0.1%

var_97
Real number (ℝ)

Distinct9870
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.45002033
Minimum-19.4202
Maximum51.8024
Zeros0
Zeros (%)0.0%
Negative773
Negative (%)7.7%
Memory size156.2 KiB
2025-02-26T22:41:56.669291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-19.4202
5-th percentile-2.07776
Q18.68685
median18.3253
Q328.212425
95-th percentile39.21165
Maximum51.8024
Range71.2226
Interquartile range (IQR)19.525575

Descriptive statistics

Standard deviation12.77602607
Coefficient of variation (CV)0.6924667744
Kurtosis-0.70979799
Mean18.45002033
Median Absolute Deviation (MAD)9.78125
Skewness0.01772420007
Sum184500.2033
Variance163.226842
MonotonicityNot monotonic
2025-02-26T22:41:57.114182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.9312 3
 
< 0.1%
27.2228 2
 
< 0.1%
22.4775 2
 
< 0.1%
31.2791 2
 
< 0.1%
16.9396 2
 
< 0.1%
24.4675 2
 
< 0.1%
8.2607 2
 
< 0.1%
30.3666 2
 
< 0.1%
24.8836 2
 
< 0.1%
5.9664 2
 
< 0.1%
Other values (9860) 9979
99.8%
ValueCountFrequency (%)
-19.4202 1
< 0.1%
-18.6394 1
< 0.1%
-17.2088 1
< 0.1%
-16.5972 1
< 0.1%
-16.4253 1
< 0.1%
ValueCountFrequency (%)
51.8024 1
< 0.1%
50.9124 1
< 0.1%
50.3393 1
< 0.1%
50.3315 1
< 0.1%
50.3233 1
< 0.1%

var_98
Real number (ℝ)

Distinct8312
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.76199422
Minimum-0.6035
Maximum4.4042
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)0.2%
Memory size156.2 KiB
2025-02-26T22:41:57.528218image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.6035
5-th percentile0.538865
Q11.261975
median1.7792
Q32.2667
95-th percentile2.918215
Maximum4.4042
Range5.0077
Interquartile range (IQR)1.004725

Descriptive statistics

Standard deviation0.7162653974
Coefficient of variation (CV)0.4065083695
Kurtosis-0.3374927087
Mean1.76199422
Median Absolute Deviation (MAD)0.50345
Skewness-0.07893233861
Sum17619.9422
Variance0.5130361195
MonotonicityNot monotonic
2025-02-26T22:41:57.925117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6895 4
 
< 0.1%
2.0919 4
 
< 0.1%
1.7563 4
 
< 0.1%
1.5434 4
 
< 0.1%
2.0542 4
 
< 0.1%
1.2309 4
 
< 0.1%
1.7382 4
 
< 0.1%
1.5284 4
 
< 0.1%
1.5999 4
 
< 0.1%
2.1485 4
 
< 0.1%
Other values (8302) 9960
99.6%
ValueCountFrequency (%)
-0.6035 1
< 0.1%
-0.4137 1
< 0.1%
-0.2308 1
< 0.1%
-0.1374 1
< 0.1%
-0.1345 1
< 0.1%
ValueCountFrequency (%)
4.4042 1
< 0.1%
4.0787 1
< 0.1%
3.9948 1
< 0.1%
3.914 1
< 0.1%
3.8849 1
< 0.1%

var_99
Real number (ℝ)

Distinct9255
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.74906585
Minimum-6.6215
Maximum4.9408
Zeros1
Zeros (%)< 0.1%
Negative6571
Negative (%)65.7%
Memory size156.2 KiB
2025-02-26T22:41:58.314233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-6.6215
5-th percentile-3.66561
Q1-2.1174
median-0.7872
Q30.49965
95-th percentile2.46719
Maximum4.9408
Range11.5623
Interquartile range (IQR)2.61705

Descriptive statistics

Standard deviation1.852659914
Coefficient of variation (CV)-2.473293789
Kurtosis-0.3176101746
Mean-0.74906585
Median Absolute Deviation (MAD)1.30545
Skewness0.1646165279
Sum-7490.6585
Variance3.432348757
MonotonicityNot monotonic
2025-02-26T22:41:58.717391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.9423 4
 
< 0.1%
-2.5487 4
 
< 0.1%
-0.2062 3
 
< 0.1%
-1.5949 3
 
< 0.1%
-1.3997 3
 
< 0.1%
-1.6754 3
 
< 0.1%
-0.2264 3
 
< 0.1%
0.6087 3
 
< 0.1%
-0.917 3
 
< 0.1%
0.1241 3
 
< 0.1%
Other values (9245) 9968
99.7%
ValueCountFrequency (%)
-6.6215 1
< 0.1%
-6.2943 1
< 0.1%
-6.1962 1
< 0.1%
-5.9441 1
< 0.1%
-5.8909 1
< 0.1%
ValueCountFrequency (%)
4.9408 1
< 0.1%
4.3586 1
< 0.1%
4.0576 1
< 0.1%
4.0477 1
< 0.1%
4.0052 1
< 0.1%

var_100
Real number (ℝ)

Distinct9872
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.53346706
Minimum-37.8881
Maximum22.2251
Zeros0
Zeros (%)0.0%
Negative7451
Negative (%)74.5%
Memory size156.2 KiB
2025-02-26T22:41:59.105733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-37.8881
5-th percentile-22.04955
Q1-13.031075
median-6.2286
Q30.141175
95-th percentile8.322235
Maximum22.2251
Range60.1132
Interquartile range (IQR)13.17225

Descriptive statistics

Standard deviation9.191893798
Coefficient of variation (CV)-1.406893723
Kurtosis-0.4367655676
Mean-6.53346706
Median Absolute Deviation (MAD)6.57625
Skewness-0.1054909313
Sum-65334.6706
Variance84.49091159
MonotonicityNot monotonic
2025-02-26T22:41:59.557495image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.9554 3
 
< 0.1%
-10.6479 2
 
< 0.1%
-4.0565 2
 
< 0.1%
-9.5207 2
 
< 0.1%
-7.695 2
 
< 0.1%
2.412 2
 
< 0.1%
-7.63 2
 
< 0.1%
2.0738 2
 
< 0.1%
-3.9587 2
 
< 0.1%
-9.7291 2
 
< 0.1%
Other values (9862) 9979
99.8%
ValueCountFrequency (%)
-37.8881 1
< 0.1%
-35.5322 1
< 0.1%
-35.0769 1
< 0.1%
-34.3512 1
< 0.1%
-34.3297 1
< 0.1%
ValueCountFrequency (%)
22.2251 1
< 0.1%
21.7915 1
< 0.1%
21.4043 1
< 0.1%
21.2017 1
< 0.1%
21.0066 1
< 0.1%

var_101
Real number (ℝ)

Distinct9740
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.35905068
Minimum0.7949
Maximum27.3201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:00.124923image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.7949
5-th percentile5.343275
Q19.6312
median13.2824
Q317.170225
95-th percentile21.326535
Maximum27.3201
Range26.5252
Interquartile range (IQR)7.539025

Descriptive statistics

Standard deviation4.934900347
Coefficient of variation (CV)0.3694050173
Kurtosis-0.6795758286
Mean13.35905068
Median Absolute Deviation (MAD)3.7556
Skewness-0.02584335465
Sum133590.5068
Variance24.35324143
MonotonicityNot monotonic
2025-02-26T22:42:00.610860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.9093 3
 
< 0.1%
13.8966 3
 
< 0.1%
11.7925 3
 
< 0.1%
7.7414 3
 
< 0.1%
9.4352 2
 
< 0.1%
17.9485 2
 
< 0.1%
12.1032 2
 
< 0.1%
7.8086 2
 
< 0.1%
10.9889 2
 
< 0.1%
10.8603 2
 
< 0.1%
Other values (9730) 9976
99.8%
ValueCountFrequency (%)
0.7949 1
< 0.1%
1.2942 1
< 0.1%
1.7804 1
< 0.1%
1.8133 1
< 0.1%
1.8274 1
< 0.1%
ValueCountFrequency (%)
27.3201 1
< 0.1%
26.2758 1
< 0.1%
25.5961 1
< 0.1%
25.4948 1
< 0.1%
25.4016 1
< 0.1%

var_102
Real number (ℝ)

Distinct9814
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.29307072
Minimum-4.7982
Maximum47.4776
Zeros0
Zeros (%)0.0%
Negative27
Negative (%)0.3%
Memory size156.2 KiB
2025-02-26T22:42:01.060411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.7982
5-th percentile8.21028
Q116.00115
median22.3724
Q328.6356
95-th percentile36.23012
Maximum47.4776
Range52.2758
Interquartile range (IQR)12.63445

Descriptive statistics

Standard deviation8.625300865
Coefficient of variation (CV)0.3869050152
Kurtosis-0.4544148175
Mean22.29307072
Median Absolute Deviation (MAD)6.3008
Skewness-0.05737697286
Sum222930.7072
Variance74.39581502
MonotonicityNot monotonic
2025-02-26T22:42:01.506048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.745 3
 
< 0.1%
30.2606 3
 
< 0.1%
9.2496 2
 
< 0.1%
19.0173 2
 
< 0.1%
11.8158 2
 
< 0.1%
31.4232 2
 
< 0.1%
21.2342 2
 
< 0.1%
29.145 2
 
< 0.1%
10.215 2
 
< 0.1%
22.2323 2
 
< 0.1%
Other values (9804) 9978
99.8%
ValueCountFrequency (%)
-4.7982 1
< 0.1%
-4.6935 1
< 0.1%
-3.4631 1
< 0.1%
-3.0059 1
< 0.1%
-2.7067 1
< 0.1%
ValueCountFrequency (%)
47.4776 1
< 0.1%
46.6303 1
< 0.1%
46.5056 1
< 0.1%
46.2801 1
< 0.1%
46.1147 1
< 0.1%

var_103
Real number (ℝ)

Distinct5396
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.57088968
Minimum1.0927
Maximum2.1054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:01.975342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.0927
5-th percentile1.276095
Q11.431375
median1.5716
Q31.705325
95-th percentile1.876705
Maximum2.1054
Range1.0127
Interquartile range (IQR)0.27395

Descriptive statistics

Standard deviation0.1848035391
Coefficient of variation (CV)0.1176425954
Kurtosis-0.6538993368
Mean1.57088968
Median Absolute Deviation (MAD)0.13705
Skewness0.04913196634
Sum15708.8968
Variance0.03415234805
MonotonicityNot monotonic
2025-02-26T22:42:02.470440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5595 8
 
0.1%
1.4314 7
 
0.1%
1.4567 7
 
0.1%
1.7286 7
 
0.1%
1.7305 7
 
0.1%
1.6973 7
 
0.1%
1.5269 7
 
0.1%
1.4368 7
 
0.1%
1.5536 7
 
0.1%
1.341 7
 
0.1%
Other values (5386) 9929
99.3%
ValueCountFrequency (%)
1.0927 1
< 0.1%
1.1038 1
< 0.1%
1.1112 1
< 0.1%
1.1141 1
< 0.1%
1.1155 1
< 0.1%
ValueCountFrequency (%)
2.1054 1
< 0.1%
2.0991 1
< 0.1%
2.0868 1
< 0.1%
2.0817 1
< 0.1%
2.0765 1
< 0.1%

var_104
Real number (ℝ)

Distinct9328
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.50248306
Minimum4.8135
Maximum18.3585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:02.977106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.8135
5-th percentile8.30948
Q110.084675
median11.46825
Q312.8997
95-th percentile14.73476
Maximum18.3585
Range13.545
Interquartile range (IQR)2.815025

Descriptive statistics

Standard deviation1.971254569
Coefficient of variation (CV)0.1713764375
Kurtosis-0.3533598569
Mean11.50248306
Median Absolute Deviation (MAD)1.40605
Skewness0.06599254182
Sum115024.8306
Variance3.885844575
MonotonicityNot monotonic
2025-02-26T22:42:03.505525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.1253 4
 
< 0.1%
12.1629 3
 
< 0.1%
11.5688 3
 
< 0.1%
12.0199 3
 
< 0.1%
11.6254 3
 
< 0.1%
11.2814 3
 
< 0.1%
10.8059 3
 
< 0.1%
12.3013 3
 
< 0.1%
11.6044 3
 
< 0.1%
12.0577 3
 
< 0.1%
Other values (9318) 9969
99.7%
ValueCountFrequency (%)
4.8135 1
< 0.1%
5.1999 1
< 0.1%
5.3874 1
< 0.1%
5.6188 1
< 0.1%
5.8183 1
< 0.1%
ValueCountFrequency (%)
18.3585 1
< 0.1%
17.6855 1
< 0.1%
17.6394 1
< 0.1%
17.5304 1
< 0.1%
17.5236 1
< 0.1%

var_105
Real number (ℝ)

Distinct8569
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.24575352
Minimum1.2737
Maximum6.9519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:04.650619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.2737
5-th percentile2.9057
Q13.64275
median4.21505
Q34.825825
95-th percentile5.71031
Maximum6.9519
Range5.6782
Interquartile range (IQR)1.183075

Descriptive statistics

Standard deviation0.8509892439
Coefficient of variation (CV)0.2004330303
Kurtosis-0.2198776846
Mean4.24575352
Median Absolute Deviation (MAD)0.59035
Skewness0.1334846217
Sum42457.5352
Variance0.7241826932
MonotonicityNot monotonic
2025-02-26T22:42:05.142234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.839 5
 
0.1%
3.9207 5
 
0.1%
3.8773 4
 
< 0.1%
5.0371 4
 
< 0.1%
4.646 4
 
< 0.1%
4.1228 4
 
< 0.1%
3.3457 4
 
< 0.1%
4.1504 4
 
< 0.1%
4.2568 4
 
< 0.1%
3.7676 4
 
< 0.1%
Other values (8559) 9958
99.6%
ValueCountFrequency (%)
1.2737 1
< 0.1%
1.4112 1
< 0.1%
1.4511 1
< 0.1%
1.4704 1
< 0.1%
1.5967 1
< 0.1%
ValueCountFrequency (%)
6.9519 1
< 0.1%
6.9182 1
< 0.1%
6.8465 1
< 0.1%
6.8036 1
< 0.1%
6.8003 1
< 0.1%

var_106
Real number (ℝ)

Distinct9309
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.60016559
Minimum2.4622
Maximum15.2003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:05.676211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.4622
5-th percentile5.549255
Q17.268725
median8.5973
Q39.895
95-th percentile11.82646
Maximum15.2003
Range12.7381
Interquartile range (IQR)2.626275

Descriptive statistics

Standard deviation1.889776798
Coefficient of variation (CV)0.2197372572
Kurtosis-0.2491340918
Mean8.60016559
Median Absolute Deviation (MAD)1.3151
Skewness0.04297004059
Sum86001.6559
Variance3.571256347
MonotonicityNot monotonic
2025-02-26T22:42:06.199341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.3393 4
 
< 0.1%
8.3095 3
 
< 0.1%
8.8558 3
 
< 0.1%
9.1125 3
 
< 0.1%
8.628 3
 
< 0.1%
6.6623 3
 
< 0.1%
7.4911 3
 
< 0.1%
9.9158 3
 
< 0.1%
8.9498 3
 
< 0.1%
7.7463 3
 
< 0.1%
Other values (9299) 9969
99.7%
ValueCountFrequency (%)
2.4622 1
< 0.1%
2.4959 1
< 0.1%
2.6266 1
< 0.1%
2.6713 1
< 0.1%
2.7158 1
< 0.1%
ValueCountFrequency (%)
15.2003 1
< 0.1%
14.8918 1
< 0.1%
14.6072 1
< 0.1%
14.5434 1
< 0.1%
14.3973 1
< 0.1%

var_107
Real number (ℝ)

Distinct9818
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.75454149
Minimum-4.0521
Maximum42.4523
Zeros0
Zeros (%)0.0%
Negative23
Negative (%)0.2%
Memory size156.2 KiB
2025-02-26T22:42:06.739410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.0521
5-th percentile5.566825
Q112.1979
median17.3991
Q323.30935
95-th percentile30.54736
Maximum42.4523
Range46.5044
Interquartile range (IQR)11.11145

Descriptive statistics

Standard deviation7.621790375
Coefficient of variation (CV)0.4292868041
Kurtosis-0.5320059783
Mean17.75454149
Median Absolute Deviation (MAD)5.55015
Skewness0.1118716497
Sum177545.4149
Variance58.09168851
MonotonicityNot monotonic
2025-02-26T22:42:07.207264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.0872 3
 
< 0.1%
15.5482 3
 
< 0.1%
11.8067 3
 
< 0.1%
18.3401 2
 
< 0.1%
14.3421 2
 
< 0.1%
27.5482 2
 
< 0.1%
13.5114 2
 
< 0.1%
10.4738 2
 
< 0.1%
9.7212 2
 
< 0.1%
16.0124 2
 
< 0.1%
Other values (9808) 9977
99.8%
ValueCountFrequency (%)
-4.0521 1
< 0.1%
-2.7005 1
< 0.1%
-2.4103 1
< 0.1%
-2.0732 1
< 0.1%
-2.0077 1
< 0.1%
ValueCountFrequency (%)
42.4523 1
< 0.1%
41.8183 1
< 0.1%
41.4132 1
< 0.1%
40.9357 1
< 0.1%
40.2218 1
< 0.1%

var_108
Real number (ℝ)

Distinct5091
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.22693339
Minimum13.768
Maximum14.6718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:07.728548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13.768
5-th percentile13.9419
Q114.100075
median14.22985
Q314.3627
95-th percentile14.484405
Maximum14.6718
Range0.9038
Interquartile range (IQR)0.262625

Descriptive statistics

Standard deviation0.1704660211
Coefficient of variation (CV)0.01198192305
Kurtosis-0.599570981
Mean14.22693339
Median Absolute Deviation (MAD)0.1314
Skewness-0.2118254141
Sum142269.3339
Variance0.02905866434
MonotonicityNot monotonic
2025-02-26T22:42:08.257514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.2003 15
 
0.1%
14.2001 14
 
0.1%
14.1999 14
 
0.1%
14.2002 14
 
0.1%
14.1998 14
 
0.1%
14.1994 13
 
0.1%
14.2005 11
 
0.1%
14.2004 10
 
0.1%
14.1995 9
 
0.1%
14.0429 8
 
0.1%
Other values (5081) 9878
98.8%
ValueCountFrequency (%)
13.768 1
< 0.1%
13.7685 1
< 0.1%
13.7696 1
< 0.1%
13.7709 1
< 0.1%
13.771 1
< 0.1%
ValueCountFrequency (%)
14.6718 1
< 0.1%
14.656 1
< 0.1%
14.6518 1
< 0.1%
14.6375 1
< 0.1%
14.6305 1
< 0.1%

var_109
Real number (ℝ)

Distinct9676
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.42584715
Minimum6.2418
Maximum31.8404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:08.789502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.2418
5-th percentile11.5707
Q115.095425
median18.161
Q321.861625
95-th percentile25.568085
Maximum31.8404
Range25.5986
Interquartile range (IQR)6.7662

Descriptive statistics

Standard deviation4.380257688
Coefficient of variation (CV)0.2377235441
Kurtosis-0.6336769702
Mean18.42584715
Median Absolute Deviation (MAD)3.3473
Skewness0.05130300084
Sum184258.4715
Variance19.18665742
MonotonicityNot monotonic
2025-02-26T22:42:09.338547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.0054 3
 
< 0.1%
22.0192 3
 
< 0.1%
14.6089 3
 
< 0.1%
12.6786 2
 
< 0.1%
18.8104 2
 
< 0.1%
17.2797 2
 
< 0.1%
18.7088 2
 
< 0.1%
15.8897 2
 
< 0.1%
21.3282 2
 
< 0.1%
13.4717 2
 
< 0.1%
Other values (9666) 9977
99.8%
ValueCountFrequency (%)
6.2418 1
< 0.1%
6.2948 1
< 0.1%
6.6268 1
< 0.1%
6.6373 1
< 0.1%
6.6733 1
< 0.1%
ValueCountFrequency (%)
31.8404 1
< 0.1%
31.0189 1
< 0.1%
30.3787 1
< 0.1%
30.3397 1
< 0.1%
30.0954 1
< 0.1%

var_110
Real number (ℝ)

Distinct9606
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.54747102
Minimum-5.8572
Maximum19.5193
Zeros0
Zeros (%)0.0%
Negative686
Negative (%)6.9%
Memory size156.2 KiB
2025-02-26T22:42:09.855859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.8572
5-th percentile-0.47281
Q12.913275
median5.4236
Q38.1418
95-th percentile12.09509
Maximum19.5193
Range25.3765
Interquartile range (IQR)5.228525

Descriptive statistics

Standard deviation3.796284587
Coefficient of variation (CV)0.6843270697
Kurtosis-0.2528680342
Mean5.54747102
Median Absolute Deviation (MAD)2.6103
Skewness0.1312981722
Sum55474.7102
Variance14.41177667
MonotonicityNot monotonic
2025-02-26T22:42:10.380572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.6341 4
 
< 0.1%
5.7765 3
 
< 0.1%
7.6111 3
 
< 0.1%
4.7983 3
 
< 0.1%
7.1901 3
 
< 0.1%
4.6389 3
 
< 0.1%
3.5755 3
 
< 0.1%
6.6734 2
 
< 0.1%
7.7368 2
 
< 0.1%
13.9355 2
 
< 0.1%
Other values (9596) 9972
99.7%
ValueCountFrequency (%)
-5.8572 1
< 0.1%
-5.5419 1
< 0.1%
-5.0753 1
< 0.1%
-5.0538 1
< 0.1%
-5.0263 1
< 0.1%
ValueCountFrequency (%)
19.5193 1
< 0.1%
17.2598 1
< 0.1%
17.1689 1
< 0.1%
16.7362 1
< 0.1%
16.5819 1
< 0.1%

var_111
Real number (ℝ)

Distinct8878
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3090544
Minimum3.1526
Maximum9.5727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:10.884607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.1526
5-th percentile4.555135
Q15.5002
median6.32495
Q37.07895
95-th percentile8.10996
Maximum9.5727
Range6.4201
Interquartile range (IQR)1.57875

Descriptive statistics

Standard deviation1.09150323
Coefficient of variation (CV)0.1730058359
Kurtosis-0.4055302078
Mean6.3090544
Median Absolute Deviation (MAD)0.788
Skewness0.0635505494
Sum63090.544
Variance1.191379302
MonotonicityNot monotonic
2025-02-26T22:42:11.370884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7763 4
 
< 0.1%
6.4448 4
 
< 0.1%
7.0241 4
 
< 0.1%
5.4336 4
 
< 0.1%
4.7043 4
 
< 0.1%
6.9739 4
 
< 0.1%
5.5995 4
 
< 0.1%
6.456 3
 
< 0.1%
6.9849 3
 
< 0.1%
6.1784 3
 
< 0.1%
Other values (8868) 9963
99.6%
ValueCountFrequency (%)
3.1526 1
< 0.1%
3.2601 1
< 0.1%
3.3351 1
< 0.1%
3.3611 1
< 0.1%
3.3968 1
< 0.1%
ValueCountFrequency (%)
9.5727 1
< 0.1%
9.5184 1
< 0.1%
9.4784 1
< 0.1%
9.4634 1
< 0.1%
9.3545 1
< 0.1%

var_112
Real number (ℝ)

Distinct9191
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.30331472
Minimum-1.4082
Maximum7.8243
Zeros0
Zeros (%)0.0%
Negative148
Negative (%)1.5%
Memory size156.2 KiB
2025-02-26T22:42:11.876715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.4082
5-th percentile0.58414
Q12.08955
median3.4207
Q34.54455
95-th percentile5.748945
Maximum7.8243
Range9.2325
Interquartile range (IQR)2.455

Descriptive statistics

Standard deviation1.596506697
Coefficient of variation (CV)0.4833044478
Kurtosis-0.7406977005
Mean3.30331472
Median Absolute Deviation (MAD)1.21685
Skewness-0.1812419904
Sum33033.1472
Variance2.548833633
MonotonicityNot monotonic
2025-02-26T22:42:12.359568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0955 4
 
< 0.1%
1.841 3
 
< 0.1%
3.797 3
 
< 0.1%
4.4383 3
 
< 0.1%
5.0408 3
 
< 0.1%
5.5067 3
 
< 0.1%
4.3996 3
 
< 0.1%
3.6279 3
 
< 0.1%
3.2532 3
 
< 0.1%
4.8659 3
 
< 0.1%
Other values (9181) 9969
99.7%
ValueCountFrequency (%)
-1.4082 1
< 0.1%
-1.1323 1
< 0.1%
-1.0414 1
< 0.1%
-1.0069 1
< 0.1%
-0.9727 1
< 0.1%
ValueCountFrequency (%)
7.8243 1
< 0.1%
7.5549 1
< 0.1%
7.4496 1
< 0.1%
7.113 1
< 0.1%
7.0301 1
< 0.1%

var_113
Real number (ℝ)

Distinct9733
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.11624622
Minimum-4.6803
Maximum20.9643
Zeros0
Zeros (%)0.0%
Negative344
Negative (%)3.4%
Memory size156.2 KiB
2025-02-26T22:42:12.860869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.6803
5-th percentile0.76554
Q14.729925
median8.105
Q311.589825
95-th percentile15.29841
Maximum20.9643
Range25.6446
Interquartile range (IQR)6.8599

Descriptive statistics

Standard deviation4.504717668
Coefficient of variation (CV)0.5550247671
Kurtosis-0.6495415664
Mean8.11624622
Median Absolute Deviation (MAD)3.424
Skewness-0.06981602864
Sum81162.4622
Variance20.29248127
MonotonicityNot monotonic
2025-02-26T22:42:13.356593image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.1392 3
 
< 0.1%
5.9693 3
 
< 0.1%
11.0412 2
 
< 0.1%
8.6916 2
 
< 0.1%
8.6115 2
 
< 0.1%
9.6859 2
 
< 0.1%
4.3255 2
 
< 0.1%
5.8896 2
 
< 0.1%
6.1704 2
 
< 0.1%
6.3197 2
 
< 0.1%
Other values (9723) 9978
99.8%
ValueCountFrequency (%)
-4.6803 1
< 0.1%
-4.1423 1
< 0.1%
-4.0442 1
< 0.1%
-3.9642 1
< 0.1%
-3.9095 1
< 0.1%
ValueCountFrequency (%)
20.9643 1
< 0.1%
20.0674 1
< 0.1%
20.0511 1
< 0.1%
19.829 1
< 0.1%
19.8011 1
< 0.1%

var_114
Real number (ℝ)

Distinct8728
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.07586523
Minimum0.0247
Maximum5.9606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:13.825733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.0247
5-th percentile1.39005
Q12.384925
median3.07915
Q33.82085
95-th percentile4.659535
Maximum5.9606
Range5.9359
Interquartile range (IQR)1.435925

Descriptive statistics

Standard deviation0.9889234053
Coefficient of variation (CV)0.3215106421
Kurtosis-0.4313191139
Mean3.07586523
Median Absolute Deviation (MAD)0.7185
Skewness-0.1094113475
Sum30758.6523
Variance0.9779695015
MonotonicityNot monotonic
2025-02-26T22:42:14.392174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8652 5
 
0.1%
2.5846 4
 
< 0.1%
2.6984 4
 
< 0.1%
3.3879 4
 
< 0.1%
3.4266 4
 
< 0.1%
3.0482 4
 
< 0.1%
3.1638 3
 
< 0.1%
3.9315 3
 
< 0.1%
2.1759 3
 
< 0.1%
3.9478 3
 
< 0.1%
Other values (8718) 9963
99.6%
ValueCountFrequency (%)
0.0247 1
< 0.1%
0.3207 1
< 0.1%
0.3455 1
< 0.1%
0.3655 1
< 0.1%
0.3814 1
< 0.1%
ValueCountFrequency (%)
5.9606 1
< 0.1%
5.9538 1
< 0.1%
5.8795 1
< 0.1%
5.8731 1
< 0.1%
5.7195 1
< 0.1%

var_115
Real number (ℝ)

Distinct9458
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.20964299
Minimum-5.4838
Maximum10.3857
Zeros0
Zeros (%)0.0%
Negative2061
Negative (%)20.6%
Memory size156.2 KiB
2025-02-26T22:42:14.926377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.4838
5-th percentile-2.22485
Q10.375025
median2.22625
Q34.12365
95-th percentile6.40645
Maximum10.3857
Range15.8695
Interquartile range (IQR)3.748625

Descriptive statistics

Standard deviation2.617135218
Coefficient of variation (CV)1.184415414
Kurtosis-0.4044042908
Mean2.20964299
Median Absolute Deviation (MAD)1.8739
Skewness-0.06317450094
Sum22096.4299
Variance6.849396747
MonotonicityNot monotonic
2025-02-26T22:42:15.424596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3434 4
 
< 0.1%
2.4469 3
 
< 0.1%
4.5921 3
 
< 0.1%
2.8819 3
 
< 0.1%
2.7972 3
 
< 0.1%
2.9224 3
 
< 0.1%
0.6174 3
 
< 0.1%
2.6768 3
 
< 0.1%
4.3809 3
 
< 0.1%
5.0186 3
 
< 0.1%
Other values (9448) 9969
99.7%
ValueCountFrequency (%)
-5.4838 1
< 0.1%
-5.2457 1
< 0.1%
-5.2115 1
< 0.1%
-5.0254 1
< 0.1%
-4.9287 1
< 0.1%
ValueCountFrequency (%)
10.3857 1
< 0.1%
10.0793 1
< 0.1%
9.9961 1
< 0.1%
9.807 1
< 0.1%
9.7712 1
< 0.1%

var_116
Real number (ℝ)

Distinct9200
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.39140811
Minimum-2.4234
Maximum7.171
Zeros0
Zeros (%)0.0%
Negative842
Negative (%)8.4%
Memory size156.2 KiB
2025-02-26T22:42:15.964439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.4234
5-th percentile-0.371515
Q11.1851
median2.4548
Q33.62625
95-th percentile4.96647
Maximum7.171
Range9.5944
Interquartile range (IQR)2.44115

Descriptive statistics

Standard deviation1.639695662
Coefficient of variation (CV)0.6856611614
Kurtosis-0.5962596738
Mean2.39140811
Median Absolute Deviation (MAD)1.2186
Skewness-0.08797343504
Sum23914.0811
Variance2.688601865
MonotonicityNot monotonic
2025-02-26T22:42:16.474258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0687 4
 
< 0.1%
1.683 3
 
< 0.1%
1.6156 3
 
< 0.1%
0.6523 3
 
< 0.1%
2.4983 3
 
< 0.1%
4.1084 3
 
< 0.1%
2.8704 3
 
< 0.1%
0.7097 3
 
< 0.1%
2.9212 3
 
< 0.1%
2.173 3
 
< 0.1%
Other values (9190) 9969
99.7%
ValueCountFrequency (%)
-2.4234 1
< 0.1%
-2.4134 1
< 0.1%
-2.236 1
< 0.1%
-2.0696 1
< 0.1%
-1.9813 1
< 0.1%
ValueCountFrequency (%)
7.171 1
< 0.1%
6.9362 1
< 0.1%
6.841 1
< 0.1%
6.7769 1
< 0.1%
6.7538 1
< 0.1%

var_117
Real number (ℝ)

Distinct9901
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.99519023
Minimum-25.4618
Maximum54.9256
Zeros0
Zeros (%)0.0%
Negative1245
Negative (%)12.4%
Memory size156.2 KiB
2025-02-26T22:42:16.932434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-25.4618
5-th percentile-5.58658
Q16.3904
median15.8501
Q325.5855
95-th percentile38.07401
Maximum54.9256
Range80.3874
Interquartile range (IQR)19.1951

Descriptive statistics

Standard deviation13.24981639
Coefficient of variation (CV)0.828362539
Kurtosis-0.522898252
Mean15.99519023
Median Absolute Deviation (MAD)9.58975
Skewness0.02000881812
Sum159951.9023
Variance175.5576344
MonotonicityNot monotonic
2025-02-26T22:42:17.431706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5612 2
 
< 0.1%
37.3656 2
 
< 0.1%
23.9069 2
 
< 0.1%
13.8832 2
 
< 0.1%
21.6707 2
 
< 0.1%
16.541 2
 
< 0.1%
6.3767 2
 
< 0.1%
10.2955 2
 
< 0.1%
15.5038 2
 
< 0.1%
12.1382 2
 
< 0.1%
Other values (9891) 9980
99.8%
ValueCountFrequency (%)
-25.4618 1
< 0.1%
-23.1992 1
< 0.1%
-20.9258 1
< 0.1%
-20.9166 1
< 0.1%
-20.6868 1
< 0.1%
ValueCountFrequency (%)
54.9256 1
< 0.1%
53.8762 1
< 0.1%
53.2534 1
< 0.1%
53.1302 1
< 0.1%
51.9565 1
< 0.1%

var_118
Real number (ℝ)

Distinct9825
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.24733338
Minimum-33.7069
Maximum19.7122
Zeros0
Zeros (%)0.0%
Negative7086
Negative (%)70.9%
Memory size156.2 KiB
2025-02-26T22:42:17.942886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-33.7069
5-th percentile-19.82037
Q1-11.544825
median-5.08725
Q31.01475
95-th percentile9.436965
Maximum19.7122
Range53.4191
Interquartile range (IQR)12.559575

Descriptive statistics

Standard deviation8.883502905
Coefficient of variation (CV)-1.69295569
Kurtosis-0.3947303171
Mean-5.24733338
Median Absolute Deviation (MAD)6.27975
Skewness-0.05865126758
Sum-52473.3338
Variance78.91662386
MonotonicityNot monotonic
2025-02-26T22:42:18.388804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3429 3
 
< 0.1%
-16.9193 2
 
< 0.1%
-8.4724 2
 
< 0.1%
-9.9557 2
 
< 0.1%
10.0959 2
 
< 0.1%
-7.0855 2
 
< 0.1%
-8.2865 2
 
< 0.1%
-10.6379 2
 
< 0.1%
-10.0076 2
 
< 0.1%
12.5428 2
 
< 0.1%
Other values (9815) 9979
99.8%
ValueCountFrequency (%)
-33.7069 1
< 0.1%
-33.365 1
< 0.1%
-32.8881 1
< 0.1%
-32.8034 1
< 0.1%
-32.1034 1
< 0.1%
ValueCountFrequency (%)
19.7122 1
< 0.1%
19.2253 1
< 0.1%
18.6222 1
< 0.1%
18.6176 1
< 0.1%
17.7772 1
< 0.1%

var_119
Real number (ℝ)

Distinct9678
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.00351807
Minimum-8.6119
Maximum14.5709
Zeros0
Zeros (%)0.0%
Negative2672
Negative (%)26.7%
Memory size156.2 KiB
2025-02-26T22:42:18.861240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-8.6119
5-th percentile-3.643015
Q1-0.232225
median2.95325
Q36.108125
95-th percentile9.96861
Maximum14.5709
Range23.1828
Interquartile range (IQR)6.34035

Descriptive statistics

Standard deviation4.214082891
Coefficient of variation (CV)1.403048955
Kurtosis-0.5668676226
Mean3.00351807
Median Absolute Deviation (MAD)3.16475
Skewness0.08965389028
Sum30035.1807
Variance17.75849461
MonotonicityNot monotonic
2025-02-26T22:42:19.331153image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.74 3
 
< 0.1%
6.6273 3
 
< 0.1%
2.8564 3
 
< 0.1%
-2.5167 3
 
< 0.1%
7.623 3
 
< 0.1%
5.2222 3
 
< 0.1%
2.9669 3
 
< 0.1%
2.8092 3
 
< 0.1%
0.5431 3
 
< 0.1%
3.553 3
 
< 0.1%
Other values (9668) 9970
99.7%
ValueCountFrequency (%)
-8.6119 1
< 0.1%
-8.3628 1
< 0.1%
-8.3369 1
< 0.1%
-8.0479 1
< 0.1%
-7.8946 1
< 0.1%
ValueCountFrequency (%)
14.5709 1
< 0.1%
14.209 1
< 0.1%
14.1223 1
< 0.1%
14.0898 1
< 0.1%
14.0768 1
< 0.1%

var_120
Real number (ℝ)

Distinct9887
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.58769342
Minimum-17.5359
Maximum66.1921
Zeros0
Zeros (%)0.0%
Negative136
Negative (%)1.4%
Memory size156.2 KiB
2025-02-26T22:42:19.771389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-17.5359
5-th percentile5.093605
Q115.8026
median24.3405
Q333.115925
95-th percentile45.042665
Maximum66.1921
Range83.728
Interquartile range (IQR)17.313325

Descriptive statistics

Standard deviation12.15269439
Coefficient of variation (CV)0.4942592289
Kurtosis-0.3654100176
Mean24.58769342
Median Absolute Deviation (MAD)8.63645
Skewness0.1055137072
Sum245876.9342
Variance147.687981
MonotonicityNot monotonic
2025-02-26T22:42:20.282515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.0594 3
 
< 0.1%
28.958 2
 
< 0.1%
11.6939 2
 
< 0.1%
15.8292 2
 
< 0.1%
17.979 2
 
< 0.1%
0.2718 2
 
< 0.1%
28.5425 2
 
< 0.1%
42.6183 2
 
< 0.1%
15.5016 2
 
< 0.1%
46.2899 2
 
< 0.1%
Other values (9877) 9979
99.8%
ValueCountFrequency (%)
-17.5359 1
< 0.1%
-17.1054 1
< 0.1%
-14.1938 1
< 0.1%
-13.5381 1
< 0.1%
-10.9391 1
< 0.1%
ValueCountFrequency (%)
66.1921 1
< 0.1%
64.0564 1
< 0.1%
63.7753 1
< 0.1%
63.6983 1
< 0.1%
62.6276 1
< 0.1%

var_121
Real number (ℝ)

Distinct9228
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.28249065
Minimum6.9126
Maximum16.572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:20.753782image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.9126
5-th percentile8.593835
Q19.9627
median11.2073
Q312.6044
95-th percentile14.12261
Maximum16.572
Range9.6594
Interquartile range (IQR)2.6417

Descriptive statistics

Standard deviation1.716106974
Coefficient of variation (CV)0.1521035583
Kurtosis-0.711416085
Mean11.28249065
Median Absolute Deviation (MAD)1.3154
Skewness0.09918538349
Sum112824.9065
Variance2.945023146
MonotonicityNot monotonic
2025-02-26T22:42:21.318786image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.4131 4
 
< 0.1%
10.3152 4
 
< 0.1%
10.7147 3
 
< 0.1%
12.9117 3
 
< 0.1%
11.2082 3
 
< 0.1%
10.1239 3
 
< 0.1%
12.3326 3
 
< 0.1%
10.2404 3
 
< 0.1%
10.3343 3
 
< 0.1%
9.1252 3
 
< 0.1%
Other values (9218) 9968
99.7%
ValueCountFrequency (%)
6.9126 1
< 0.1%
6.9215 1
< 0.1%
6.9647 1
< 0.1%
6.9732 1
< 0.1%
7.0012 1
< 0.1%
ValueCountFrequency (%)
16.572 1
< 0.1%
16.0256 1
< 0.1%
15.9734 1
< 0.1%
15.9014 1
< 0.1%
15.8791 1
< 0.1%

var_122
Real number (ℝ)

Distinct9758
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.14048987
Minimum-15.0919
Maximum16.5593
Zeros0
Zeros (%)0.0%
Negative4202
Negative (%)42.0%
Memory size156.2 KiB
2025-02-26T22:42:21.796907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-15.0919
5-th percentile-7.425665
Q1-2.636675
median1.19645
Q35.01825
95-th percentile9.326985
Maximum16.5593
Range31.6512
Interquartile range (IQR)7.654925

Descriptive statistics

Standard deviation5.14600059
Coefficient of variation (CV)4.51209671
Kurtosis-0.5445191639
Mean1.14048987
Median Absolute Deviation (MAD)3.8296
Skewness-0.07187636377
Sum11404.8987
Variance26.48132207
MonotonicityNot monotonic
2025-02-26T22:42:22.280705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4266 3
 
< 0.1%
2.209 3
 
< 0.1%
-1.1328 3
 
< 0.1%
7.2781 2
 
< 0.1%
2.5412 2
 
< 0.1%
8.1394 2
 
< 0.1%
3.8976 2
 
< 0.1%
3.6134 2
 
< 0.1%
2.9152 2
 
< 0.1%
1.1572 2
 
< 0.1%
Other values (9748) 9977
99.8%
ValueCountFrequency (%)
-15.0919 1
< 0.1%
-13.3143 1
< 0.1%
-12.7239 1
< 0.1%
-12.7129 1
< 0.1%
-12.712 1
< 0.1%
ValueCountFrequency (%)
16.5593 1
< 0.1%
16.2024 1
< 0.1%
15.9667 1
< 0.1%
15.4251 1
< 0.1%
15.2104 1
< 0.1%

var_123
Real number (ℝ)

Distinct9763
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.00515305
Minimum-9.8878
Maximum23.6309
Zeros0
Zeros (%)0.0%
Negative1341
Negative (%)13.4%
Memory size156.2 KiB
2025-02-26T22:42:22.816833image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.8878
5-th percentile-3.447545
Q12.6677
median7.10795
Q311.71275
95-th percentile16.498395
Maximum23.6309
Range33.5187
Interquartile range (IQR)9.04505

Descriptive statistics

Standard deviation6.16079949
Coefficient of variation (CV)0.8794667934
Kurtosis-0.476565327
Mean7.00515305
Median Absolute Deviation (MAD)4.5217
Skewness-0.1697606511
Sum70051.5305
Variance37.95545036
MonotonicityNot monotonic
2025-02-26T22:42:23.345011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.6701 3
 
< 0.1%
10.1043 3
 
< 0.1%
3.4643 2
 
< 0.1%
-3.9675 2
 
< 0.1%
-0.9563 2
 
< 0.1%
4.6262 2
 
< 0.1%
5.7372 2
 
< 0.1%
3.7581 2
 
< 0.1%
10.9137 2
 
< 0.1%
-8.3774 2
 
< 0.1%
Other values (9753) 9978
99.8%
ValueCountFrequency (%)
-9.8878 1
< 0.1%
-9.7837 1
< 0.1%
-9.6593 1
< 0.1%
-9.595 1
< 0.1%
-9.5414 1
< 0.1%
ValueCountFrequency (%)
23.6309 1
< 0.1%
23.5717 1
< 0.1%
23.544 1
< 0.1%
23.1773 1
< 0.1%
22.9795 1
< 0.1%

var_124
Real number (ℝ)

Distinct9502
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.29415646
Minimum-5.3435
Maximum12.4071
Zeros0
Zeros (%)0.0%
Negative584
Negative (%)5.8%
Memory size156.2 KiB
2025-02-26T22:42:23.800262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.3435
5-th percentile-0.225205
Q12.3953
median4.3501
Q36.16305
95-th percentile8.755305
Maximum12.4071
Range17.7506
Interquartile range (IQR)3.76775

Descriptive statistics

Standard deviation2.705960083
Coefficient of variation (CV)0.630149392
Kurtosis-0.2843627808
Mean4.29415646
Median Absolute Deviation (MAD)1.8867
Skewness-0.07290691844
Sum42941.5646
Variance7.322219968
MonotonicityNot monotonic
2025-02-26T22:42:24.287123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7137 4
 
< 0.1%
2.3075 3
 
< 0.1%
6.5384 3
 
< 0.1%
4.8162 3
 
< 0.1%
4.8743 3
 
< 0.1%
0.4657 3
 
< 0.1%
3.7317 3
 
< 0.1%
6.5847 3
 
< 0.1%
3.6118 3
 
< 0.1%
2.0319 3
 
< 0.1%
Other values (9492) 9969
99.7%
ValueCountFrequency (%)
-5.3435 1
< 0.1%
-4.9231 1
< 0.1%
-4.7154 1
< 0.1%
-4.501 1
< 0.1%
-4.2179 1
< 0.1%
ValueCountFrequency (%)
12.4071 1
< 0.1%
12.2965 1
< 0.1%
12.2471 1
< 0.1%
12.0727 1
< 0.1%
11.7391 1
< 0.1%

var_125
Real number (ℝ)

Distinct6806
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.49196233
Minimum11.6148
Maximum13.5828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:24.806274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11.6148
5-th percentile11.991095
Q112.24465
median12.4921
Q312.721625
95-th percentile13.027135
Maximum13.5828
Range1.968
Interquartile range (IQR)0.476975

Descriptive statistics

Standard deviation0.3207758288
Coefficient of variation (CV)0.02567857798
Kurtosis-0.4433716299
Mean12.49196233
Median Absolute Deviation (MAD)0.2389
Skewness0.1690599475
Sum124919.6233
Variance0.1028971323
MonotonicityNot monotonic
2025-02-26T22:42:25.220228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.1624 6
 
0.1%
12.6775 6
 
0.1%
12.6461 6
 
0.1%
12.3396 6
 
0.1%
12.6364 5
 
0.1%
12.5133 5
 
0.1%
12.5903 5
 
0.1%
12.4698 5
 
0.1%
12.7945 5
 
0.1%
12.6473 5
 
0.1%
Other values (6796) 9946
99.5%
ValueCountFrequency (%)
11.6148 1
 
< 0.1%
11.6424 1
 
< 0.1%
11.6547 1
 
< 0.1%
11.658 3
< 0.1%
11.6764 1
 
< 0.1%
ValueCountFrequency (%)
13.5828 1
< 0.1%
13.5451 1
< 0.1%
13.5019 1
< 0.1%
13.4965 1
< 0.1%
13.4914 1
< 0.1%

var_126
Real number (ℝ)

Distinct8290
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.21778958
Minimum11.443
Maximum15.2873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:25.608901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11.443
5-th percentile11.978015
Q112.6171
median13.18835
Q313.82355
95-th percentile14.512815
Maximum15.2873
Range3.8443
Interquartile range (IQR)1.20645

Descriptive statistics

Standard deviation0.7834337199
Coefficient of variation (CV)0.05927115992
Kurtosis-0.6819576084
Mean13.21778958
Median Absolute Deviation (MAD)0.5982
Skewness0.04372176098
Sum132177.8958
Variance0.6137683935
MonotonicityNot monotonic
2025-02-26T22:42:26.030155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.5354 22
 
0.2%
11.5356 20
 
0.2%
11.5358 14
 
0.1%
11.5355 14
 
0.1%
11.5351 12
 
0.1%
11.5349 12
 
0.1%
11.5357 12
 
0.1%
11.5353 11
 
0.1%
11.535 11
 
0.1%
11.5352 10
 
0.1%
Other values (8280) 9862
98.6%
ValueCountFrequency (%)
11.443 1
< 0.1%
11.4885 1
< 0.1%
11.5341 2
< 0.1%
11.5342 2
< 0.1%
11.5343 1
< 0.1%
ValueCountFrequency (%)
15.2873 1
< 0.1%
15.2796 1
< 0.1%
15.2794 1
< 0.1%
15.2733 1
< 0.1%
15.2248 1
< 0.1%

var_127
Real number (ℝ)

Distinct9566
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.92441826
Minimum-7.7327
Maximum9.6006
Zeros0
Zeros (%)0.0%
Negative3956
Negative (%)39.6%
Memory size156.2 KiB
2025-02-26T22:42:26.466377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.7327
5-th percentile-4.336385
Q1-1.463425
median1.006
Q33.41305
95-th percentile5.90003
Maximum9.6006
Range17.3333
Interquartile range (IQR)4.876475

Descriptive statistics

Standard deviation3.166586281
Coefficient of variation (CV)3.425490839
Kurtosis-0.7079972311
Mean0.92441826
Median Absolute Deviation (MAD)2.4407
Skewness-0.09191731231
Sum9244.1826
Variance10.02726868
MonotonicityNot monotonic
2025-02-26T22:42:26.905204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3801 3
 
< 0.1%
2.0158 3
 
< 0.1%
0.8853 3
 
< 0.1%
-0.7629 3
 
< 0.1%
-0.5956 3
 
< 0.1%
1.6092 3
 
< 0.1%
0.958 3
 
< 0.1%
-0.9632 3
 
< 0.1%
3.6846 3
 
< 0.1%
0.3992 3
 
< 0.1%
Other values (9556) 9970
99.7%
ValueCountFrequency (%)
-7.7327 1
< 0.1%
-7.3004 1
< 0.1%
-7.1166 1
< 0.1%
-7.0767 1
< 0.1%
-7.0745 1
< 0.1%
ValueCountFrequency (%)
9.6006 1
< 0.1%
9.3451 1
< 0.1%
9.3094 1
< 0.1%
9.2394 1
< 0.1%
9.2211 1
< 0.1%

var_128
Real number (ℝ)

Distinct9601
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.12980426
Minimum-10.7764
Maximum7.9506
Zeros0
Zeros (%)0.0%
Negative6125
Negative (%)61.3%
Memory size156.2 KiB
2025-02-26T22:42:27.338160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-10.7764
5-th percentile-6.397805
Q1-3.5979
median-1.1269
Q31.411225
95-th percentile4.18025
Maximum7.9506
Range18.727
Interquartile range (IQR)5.009125

Descriptive statistics

Standard deviation3.26949665
Coefficient of variation (CV)-2.893861145
Kurtosis-0.7125280978
Mean-1.12980426
Median Absolute Deviation (MAD)2.50015
Skewness-0.03850770845
Sum-11298.0426
Variance10.68960834
MonotonicityNot monotonic
2025-02-26T22:42:27.749659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.339 3
 
< 0.1%
-0.0004 3
 
< 0.1%
-2.5238 3
 
< 0.1%
-3.14 3
 
< 0.1%
-1.1656 3
 
< 0.1%
-3.9675 3
 
< 0.1%
-2.6487 3
 
< 0.1%
1.9773 2
 
< 0.1%
-2.016 2
 
< 0.1%
2.1751 2
 
< 0.1%
Other values (9591) 9973
99.7%
ValueCountFrequency (%)
-10.7764 1
< 0.1%
-10.2248 1
< 0.1%
-10.1134 1
< 0.1%
-9.947 1
< 0.1%
-9.8591 1
< 0.1%
ValueCountFrequency (%)
7.9506 1
< 0.1%
7.4584 1
< 0.1%
7.1656 1
< 0.1%
7.1546 1
< 0.1%
7.1032 1
< 0.1%

var_129
Real number (ℝ)

Distinct9668
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.46694991
Minimum3.6266
Maximum27.5833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:28.173182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.6266
5-th percentile8.50305
Q112.544625
median15.37855
Q318.504925
95-th percentile22.301545
Maximum27.5833
Range23.9567
Interquartile range (IQR)5.9603

Descriptive statistics

Standard deviation4.141397027
Coefficient of variation (CV)0.2677578354
Kurtosis-0.50265415
Mean15.46694991
Median Absolute Deviation (MAD)2.97775
Skewness-0.008139064057
Sum154669.4991
Variance17.15116934
MonotonicityNot monotonic
2025-02-26T22:42:28.641497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.3955 3
 
< 0.1%
16.3137 3
 
< 0.1%
14.3164 3
 
< 0.1%
14.2558 3
 
< 0.1%
14.0446 3
 
< 0.1%
12.2338 3
 
< 0.1%
16.2936 3
 
< 0.1%
18.2342 3
 
< 0.1%
15.4115 3
 
< 0.1%
12.8549 3
 
< 0.1%
Other values (9658) 9970
99.7%
ValueCountFrequency (%)
3.6266 1
< 0.1%
4.3507 1
< 0.1%
4.5131 1
< 0.1%
4.5271 1
< 0.1%
4.822 1
< 0.1%
ValueCountFrequency (%)
27.5833 1
< 0.1%
27.5761 1
< 0.1%
27.3001 1
< 0.1%
27.1573 1
< 0.1%
27.09 1
< 0.1%

var_130
Real number (ℝ)

Distinct8499
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.27116167
Minimum9.8
Maximum14.768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:29.023750image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9.8
5-th percentile10.94099
Q111.642725
median12.27785
Q312.886425
95-th percentile13.60823
Maximum14.768
Range4.968
Interquartile range (IQR)1.2437

Descriptive statistics

Standard deviation0.8267388219
Coefficient of variation (CV)0.06737249856
Kurtosis-0.5713002268
Mean12.27116167
Median Absolute Deviation (MAD)0.62215
Skewness0.05472608698
Sum122711.6167
Variance0.6834970796
MonotonicityNot monotonic
2025-02-26T22:42:29.502881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.8422 4
 
< 0.1%
12.803 4
 
< 0.1%
11.9958 4
 
< 0.1%
11.7137 4
 
< 0.1%
12.2615 4
 
< 0.1%
12.9034 4
 
< 0.1%
10.876 4
 
< 0.1%
12.3878 4
 
< 0.1%
12.4169 4
 
< 0.1%
12.5105 4
 
< 0.1%
Other values (8489) 9960
99.6%
ValueCountFrequency (%)
9.8 1
< 0.1%
9.8944 1
< 0.1%
10.0225 1
< 0.1%
10.0403 1
< 0.1%
10.0737 1
< 0.1%
ValueCountFrequency (%)
14.768 1
< 0.1%
14.6687 1
< 0.1%
14.6635 1
< 0.1%
14.6425 1
< 0.1%
14.6248 1
< 0.1%

var_131
Real number (ℝ)

Distinct7592
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.55209848
Minimum-0.7658
Maximum1.7737
Zeros2
Zeros (%)< 0.1%
Negative1266
Negative (%)12.7%
Memory size156.2 KiB
2025-02-26T22:42:29.944248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7658
5-th percentile-0.21382
Q10.21575
median0.56
Q30.9107
95-th percentile1.26141
Maximum1.7737
Range2.5395
Interquartile range (IQR)0.69495

Descriptive statistics

Standard deviation0.4573606682
Coefficient of variation (CV)0.828404143
Kurtosis-0.6329260424
Mean0.55209848
Median Absolute Deviation (MAD)0.3477
Skewness-0.1305349846
Sum5520.9848
Variance0.2091787808
MonotonicityNot monotonic
2025-02-26T22:42:30.340015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.421 5
 
0.1%
0.3685 5
 
0.1%
1.2908 5
 
0.1%
0.6437 5
 
0.1%
1.0661 5
 
0.1%
0.5133 5
 
0.1%
0.0754 5
 
0.1%
0.4209 5
 
0.1%
0.6516 4
 
< 0.1%
0.465 4
 
< 0.1%
Other values (7582) 9952
99.5%
ValueCountFrequency (%)
-0.7658 1
< 0.1%
-0.7088 1
< 0.1%
-0.7073 1
< 0.1%
-0.69 1
< 0.1%
-0.6891 1
< 0.1%
ValueCountFrequency (%)
1.7737 1
< 0.1%
1.7425 1
< 0.1%
1.6844 1
< 0.1%
1.6825 1
< 0.1%
1.6707 1
< 0.1%

var_132
Real number (ℝ)

Distinct9105
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.78436906
Minimum3.1104
Maximum12.0498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:30.758961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.1104
5-th percentile5.422195
Q16.715075
median7.7891
Q38.893925
95-th percentile10.124725
Maximum12.0498
Range8.9394
Interquartile range (IQR)2.17885

Descriptive statistics

Standard deviation1.463026644
Coefficient of variation (CV)0.1879441523
Kurtosis-0.5527002506
Mean7.78436906
Median Absolute Deviation (MAD)1.08635
Skewness-0.0546887429
Sum77843.6906
Variance2.140446961
MonotonicityNot monotonic
2025-02-26T22:42:31.195981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2203 4
 
< 0.1%
7.2809 3
 
< 0.1%
7.596 3
 
< 0.1%
9.1558 3
 
< 0.1%
5.9393 3
 
< 0.1%
7.0608 3
 
< 0.1%
9.5801 3
 
< 0.1%
6.1231 3
 
< 0.1%
8.1844 3
 
< 0.1%
6.9882 3
 
< 0.1%
Other values (9095) 9969
99.7%
ValueCountFrequency (%)
3.1104 1
< 0.1%
3.3945 1
< 0.1%
3.473 1
< 0.1%
3.5623 1
< 0.1%
3.5708 1
< 0.1%
ValueCountFrequency (%)
12.0498 1
< 0.1%
11.9467 1
< 0.1%
11.7605 1
< 0.1%
11.7579 1
< 0.1%
11.709 1
< 0.1%

var_133
Real number (ℝ)

Distinct7174
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.81403009
Minimum5.6268
Maximum8.088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:31.605776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.6268
5-th percentile6.21677
Q16.542475
median6.8063
Q37.0727
95-th percentile7.44853
Maximum8.088
Range2.4612
Interquartile range (IQR)0.530225

Descriptive statistics

Standard deviation0.3771490571
Coefficient of variation (CV)0.0553488981
Kurtosis-0.2627302918
Mean6.81403009
Median Absolute Deviation (MAD)0.26505
Skewness0.1291123069
Sum68140.3009
Variance0.1422414113
MonotonicityNot monotonic
2025-02-26T22:42:32.016713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5775 8
 
0.1%
6.6175 6
 
0.1%
6.9112 5
 
0.1%
6.6006 5
 
0.1%
6.5808 5
 
0.1%
6.9139 5
 
0.1%
6.8597 5
 
0.1%
7.05 5
 
0.1%
6.6388 5
 
0.1%
6.9674 5
 
0.1%
Other values (7164) 9946
99.5%
ValueCountFrequency (%)
5.6268 1
< 0.1%
5.6453 1
< 0.1%
5.6545 1
< 0.1%
5.6636 1
< 0.1%
5.6727 1
< 0.1%
ValueCountFrequency (%)
8.088 1
< 0.1%
8.0122 1
< 0.1%
8 1
< 0.1%
7.988 1
< 0.1%
7.9755 1
< 0.1%

var_134
Real number (ℝ)

Distinct9779
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.73028666
Minimum-21.3505
Maximum9.5519
Zeros0
Zeros (%)0.0%
Negative7585
Negative (%)75.8%
Memory size156.2 KiB
2025-02-26T22:42:32.416697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-21.3505
5-th percentile-14.790355
Q1-9.4902
median-4.52985
Q3-0.16615
95-th percentile5.105365
Maximum9.5519
Range30.9024
Interquartile range (IQR)9.32405

Descriptive statistics

Standard deviation6.158417399
Coefficient of variation (CV)-1.301912091
Kurtosis-0.6375615941
Mean-4.73028666
Median Absolute Deviation (MAD)4.64515
Skewness0.0004434797149
Sum-47302.8666
Variance37.92610486
MonotonicityNot monotonic
2025-02-26T22:42:32.813190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2457 3
 
< 0.1%
-6.6527 3
 
< 0.1%
-1.4585 3
 
< 0.1%
0.1564 2
 
< 0.1%
-5.8561 2
 
< 0.1%
2.2257 2
 
< 0.1%
4.9941 2
 
< 0.1%
-4.6286 2
 
< 0.1%
-5.6237 2
 
< 0.1%
-1.6201 2
 
< 0.1%
Other values (9769) 9977
99.8%
ValueCountFrequency (%)
-21.3505 1
< 0.1%
-21.1748 1
< 0.1%
-21.1071 1
< 0.1%
-20.7909 1
< 0.1%
-20.3727 1
< 0.1%
ValueCountFrequency (%)
9.5519 1
< 0.1%
9.5407 1
< 0.1%
9.458 1
< 0.1%
9.4429 1
< 0.1%
9.4327 1
< 0.1%

var_135
Real number (ℝ)

Distinct9794
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.38368881
Minimum-31.3808
Maximum15.1606
Zeros0
Zeros (%)0.0%
Negative7021
Negative (%)70.2%
Memory size156.2 KiB
2025-02-26T22:42:33.233063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-31.3808
5-th percentile-16.70531
Q1-10.1703
median-4.20085
Q31.080025
95-th percentile8.587155
Maximum15.1606
Range46.5414
Interquartile range (IQR)11.250325

Descriptive statistics

Standard deviation7.67185916
Coefficient of variation (CV)-1.750092101
Kurtosis-0.4695634235
Mean-4.38368881
Median Absolute Deviation (MAD)5.59215
Skewness0.06623254701
Sum-43836.8881
Variance58.85742297
MonotonicityNot monotonic
2025-02-26T22:42:33.688499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7.3632 3
 
< 0.1%
-0.3139 3
 
< 0.1%
-13.4638 3
 
< 0.1%
-7.8828 3
 
< 0.1%
-11.2234 2
 
< 0.1%
-2.0493 2
 
< 0.1%
-0.9316 2
 
< 0.1%
-6.4284 2
 
< 0.1%
-5.7441 2
 
< 0.1%
-12.2713 2
 
< 0.1%
Other values (9784) 9976
99.8%
ValueCountFrequency (%)
-31.3808 1
< 0.1%
-26.4946 1
< 0.1%
-26.3177 1
< 0.1%
-26.137 1
< 0.1%
-26.035 1
< 0.1%
ValueCountFrequency (%)
15.1606 1
< 0.1%
15.1144 1
< 0.1%
15.0366 1
< 0.1%
14.9758 1
< 0.1%
14.8726 1
< 0.1%

var_136
Real number (ℝ)

Distinct9874
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.02889101
Minimum-5.7576
Maximum51.9557
Zeros0
Zeros (%)0.0%
Negative45
Negative (%)0.4%
Memory size156.2 KiB
2025-02-26T22:42:34.079434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.7576
5-th percentile5.92909
Q114.9436
median23.09725
Q331.149575
95-th percentile39.926495
Maximum51.9557
Range57.7133
Interquartile range (IQR)16.205975

Descriptive statistics

Standard deviation10.52005485
Coefficient of variation (CV)0.4568198635
Kurtosis-0.7661027396
Mean23.02889101
Median Absolute Deviation (MAD)8.10335
Skewness0.00119501739
Sum230288.9101
Variance110.671554
MonotonicityNot monotonic
2025-02-26T22:42:34.467810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.5794 2
 
< 0.1%
27.016 2
 
< 0.1%
22.0145 2
 
< 0.1%
31.9062 2
 
< 0.1%
29.4838 2
 
< 0.1%
27.4279 2
 
< 0.1%
14.421 2
 
< 0.1%
19.256 2
 
< 0.1%
11.6705 2
 
< 0.1%
16.3483 2
 
< 0.1%
Other values (9864) 9980
99.8%
ValueCountFrequency (%)
-5.7576 1
< 0.1%
-3.7405 1
< 0.1%
-3.6447 1
< 0.1%
-3.3516 1
< 0.1%
-3.0781 1
< 0.1%
ValueCountFrequency (%)
51.9557 1
< 0.1%
50.9934 1
< 0.1%
50.7 1
< 0.1%
49.9148 1
< 0.1%
49.5812 1
< 0.1%

var_137
Real number (ℝ)

Distinct9837
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.64224135
Minimum-9.0199
Maximum42.2373
Zeros0
Zeros (%)0.0%
Negative101
Negative (%)1.0%
Memory size156.2 KiB
2025-02-26T22:42:34.868831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.0199
5-th percentile3.94321
Q110.586875
median17.24355
Q324.535675
95-th percentile32.504425
Maximum42.2373
Range51.2572
Interquartile range (IQR)13.9488

Descriptive statistics

Standard deviation8.953338454
Coefficient of variation (CV)0.5074943867
Kurtosis-0.7424948227
Mean17.64224135
Median Absolute Deviation (MAD)6.95075
Skewness0.1001012477
Sum176422.4135
Variance80.16226948
MonotonicityNot monotonic
2025-02-26T22:42:35.327643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.2363 3
 
< 0.1%
13.57 2
 
< 0.1%
6.2575 2
 
< 0.1%
25.7063 2
 
< 0.1%
19.254 2
 
< 0.1%
23.4667 2
 
< 0.1%
24.3104 2
 
< 0.1%
7.8564 2
 
< 0.1%
7.4181 2
 
< 0.1%
15.0406 2
 
< 0.1%
Other values (9827) 9979
99.8%
ValueCountFrequency (%)
-9.0199 1
< 0.1%
-6.5608 1
< 0.1%
-6.5489 1
< 0.1%
-6.3413 1
< 0.1%
-6.0063 1
< 0.1%
ValueCountFrequency (%)
42.2373 1
< 0.1%
42.2164 1
< 0.1%
41.7796 1
< 0.1%
40.9705 1
< 0.1%
40.9226 1
< 0.1%

var_138
Real number (ℝ)

Distinct9691
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.23164046
Minimum-13.2433
Maximum15.6084
Zeros0
Zeros (%)0.0%
Negative4048
Negative (%)40.5%
Memory size156.2 KiB
2025-02-26T22:42:35.711868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-13.2433
5-th percentile-6.12571
Q1-2.0029
median1.21765
Q34.412425
95-th percentile8.883255
Maximum15.6084
Range28.8517
Interquartile range (IQR)6.415325

Descriptive statistics

Standard deviation4.571021956
Coefficient of variation (CV)3.711328187
Kurtosis-0.323266051
Mean1.23164046
Median Absolute Deviation (MAD)3.20555
Skewness0.01871339936
Sum12316.4046
Variance20.89424172
MonotonicityNot monotonic
2025-02-26T22:42:36.884129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.035 4
 
< 0.1%
-2.9152 3
 
< 0.1%
-3.2699 3
 
< 0.1%
1.6508 3
 
< 0.1%
1.4493 3
 
< 0.1%
6.9047 3
 
< 0.1%
-4.4231 3
 
< 0.1%
7.0719 3
 
< 0.1%
-0.1041 3
 
< 0.1%
6.6186 3
 
< 0.1%
Other values (9681) 9969
99.7%
ValueCountFrequency (%)
-13.2433 1
< 0.1%
-13.0137 1
< 0.1%
-12.9222 1
< 0.1%
-12.7204 1
< 0.1%
-12.7094 1
< 0.1%
ValueCountFrequency (%)
15.6084 1
< 0.1%
15.3319 1
< 0.1%
15.1107 1
< 0.1%
15.07 1
< 0.1%
14.5551 1
< 0.1%

var_139
Real number (ℝ)

Distinct9776
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.82929183
Minimum-15.712
Maximum36.0971
Zeros0
Zeros (%)0.0%
Negative1603
Negative (%)16.0%
Memory size156.2 KiB
2025-02-26T22:42:37.287937image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-15.712
5-th percentile-5.356485
Q12.36085
median8.0876
Q313.28905
95-th percentile20.006175
Maximum36.0971
Range51.8091
Interquartile range (IQR)10.9282

Descriptive statistics

Standard deviation7.683010384
Coefficient of variation (CV)0.9813161332
Kurtosis-0.3009742816
Mean7.82929183
Median Absolute Deviation (MAD)5.48405
Skewness-0.08890883783
Sum78292.9183
Variance59.02864856
MonotonicityNot monotonic
2025-02-26T22:42:37.688427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0437 3
 
< 0.1%
10.7295 3
 
< 0.1%
11.5234 2
 
< 0.1%
7.552 2
 
< 0.1%
10.2937 2
 
< 0.1%
10.0698 2
 
< 0.1%
14.0138 2
 
< 0.1%
2.6233 2
 
< 0.1%
11.8543 2
 
< 0.1%
10.0341 2
 
< 0.1%
Other values (9766) 9978
99.8%
ValueCountFrequency (%)
-15.712 1
< 0.1%
-15.6434 1
< 0.1%
-13.0728 1
< 0.1%
-12.6589 1
< 0.1%
-12.6273 1
< 0.1%
ValueCountFrequency (%)
36.0971 1
< 0.1%
35.8637 1
< 0.1%
35.5527 1
< 0.1%
33.9365 1
< 0.1%
33.1759 1
< 0.1%

var_140
Real number (ℝ)

Distinct9715
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.36743573
Minimum-13.5743
Maximum17.0371
Zeros0
Zeros (%)0.0%
Negative2607
Negative (%)26.1%
Memory size156.2 KiB
2025-02-26T22:42:38.051698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-13.5743
5-th percentile-4.734945
Q1-0.1872
median3.42075
Q36.9846
95-th percentile11.249425
Maximum17.0371
Range30.6114
Interquartile range (IQR)7.1718

Descriptive statistics

Standard deviation4.869070857
Coefficient of variation (CV)1.44592837
Kurtosis-0.5209735674
Mean3.36743573
Median Absolute Deviation (MAD)3.5862
Skewness-0.08123892991
Sum33674.3573
Variance23.70785101
MonotonicityNot monotonic
2025-02-26T22:42:38.443868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7067 3
 
< 0.1%
-5.7635 3
 
< 0.1%
2.3011 3
 
< 0.1%
2.9996 3
 
< 0.1%
4.2407 3
 
< 0.1%
9.8481 2
 
< 0.1%
0.98 2
 
< 0.1%
3.5181 2
 
< 0.1%
5.1756 2
 
< 0.1%
1.0272 2
 
< 0.1%
Other values (9705) 9975
99.8%
ValueCountFrequency (%)
-13.5743 1
< 0.1%
-12.4677 1
< 0.1%
-12.1897 1
< 0.1%
-11.4618 1
< 0.1%
-11.1754 1
< 0.1%
ValueCountFrequency (%)
17.0371 1
< 0.1%
16.8811 1
< 0.1%
16.4311 1
< 0.1%
16.3172 1
< 0.1%
16.2638 1
< 0.1%

var_141
Real number (ℝ)

Distinct9798
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8893523
Minimum-15.6441
Maximum21.6206
Zeros1
Zeros (%)< 0.1%
Negative3476
Negative (%)34.8%
Memory size156.2 KiB
2025-02-26T22:42:38.831847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-15.6441
5-th percentile-7.989975
Q1-2.0711
median2.9766
Q38.0395
95-th percentile13.405055
Maximum21.6206
Range37.2647
Interquartile range (IQR)10.1106

Descriptive statistics

Standard deviation6.666168645
Coefficient of variation (CV)2.307149822
Kurtosis-0.6139756526
Mean2.8893523
Median Absolute Deviation (MAD)5.0579
Skewness-0.08837847771
Sum28893.523
Variance44.43780441
MonotonicityNot monotonic
2025-02-26T22:42:39.241883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.2059 3
 
< 0.1%
1.7567 3
 
< 0.1%
3.6565 3
 
< 0.1%
-2.6414 2
 
< 0.1%
1.6036 2
 
< 0.1%
3.3573 2
 
< 0.1%
4.9748 2
 
< 0.1%
10.9125 2
 
< 0.1%
-4.1119 2
 
< 0.1%
7.2979 2
 
< 0.1%
Other values (9788) 9977
99.8%
ValueCountFrequency (%)
-15.6441 1
< 0.1%
-14.9749 1
< 0.1%
-14.9013 1
< 0.1%
-14.5234 1
< 0.1%
-14.3763 1
< 0.1%
ValueCountFrequency (%)
21.6206 1
< 0.1%
20.3062 1
< 0.1%
19.7846 1
< 0.1%
19.733 1
< 0.1%
19.71 1
< 0.1%

var_142
Real number (ℝ)

Distinct9777
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.02267088
Minimum-3.9391
Maximum32.0469
Zeros0
Zeros (%)0.0%
Negative97
Negative (%)1.0%
Memory size156.2 KiB
2025-02-26T22:42:39.633317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-3.9391
5-th percentile2.695285
Q17.924675
median11.9334
Q316.127125
95-th percentile21.394925
Maximum32.0469
Range35.986
Interquartile range (IQR)8.20245

Descriptive statistics

Standard deviation5.661457347
Coefficient of variation (CV)0.470898472
Kurtosis-0.4839998738
Mean12.02267088
Median Absolute Deviation (MAD)4.0916
Skewness0.05388229679
Sum120226.7088
Variance32.05209929
MonotonicityNot monotonic
2025-02-26T22:42:40.045588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.1441 3
 
< 0.1%
12.675 3
 
< 0.1%
19.5093 3
 
< 0.1%
8.7686 3
 
< 0.1%
11.3153 3
 
< 0.1%
2.4966 3
 
< 0.1%
13.3947 2
 
< 0.1%
6.4272 2
 
< 0.1%
7.3835 2
 
< 0.1%
18.6151 2
 
< 0.1%
Other values (9767) 9974
99.7%
ValueCountFrequency (%)
-3.9391 1
< 0.1%
-2.9878 1
< 0.1%
-2.9506 1
< 0.1%
-2.2845 1
< 0.1%
-2.2658 1
< 0.1%
ValueCountFrequency (%)
32.0469 1
< 0.1%
28.67 1
< 0.1%
28.618 1
< 0.1%
28.5808 1
< 0.1%
28.399 1
< 0.1%

var_143
Real number (ℝ)

Distinct9553
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.34183721
Minimum3.7655
Maximum22.6916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:40.462337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.7655
5-th percentile7.338695
Q110.274025
median12.3964
Q314.49715
95-th percentile16.9973
Maximum22.6916
Range18.9261
Interquartile range (IQR)4.223125

Descriptive statistics

Standard deviation2.931110775
Coefficient of variation (CV)0.2374938775
Kurtosis-0.3758750957
Mean12.34183721
Median Absolute Deviation (MAD)2.1111
Skewness-0.112865185
Sum123418.3721
Variance8.591410373
MonotonicityNot monotonic
2025-02-26T22:42:40.863424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4333 3
 
< 0.1%
11.1801 3
 
< 0.1%
14.365 3
 
< 0.1%
12.9349 3
 
< 0.1%
10.3023 3
 
< 0.1%
13.5956 3
 
< 0.1%
15.4586 3
 
< 0.1%
15.6473 3
 
< 0.1%
10.8207 3
 
< 0.1%
12.73 3
 
< 0.1%
Other values (9543) 9970
99.7%
ValueCountFrequency (%)
3.7655 1
< 0.1%
3.8861 1
< 0.1%
4.2125 1
< 0.1%
4.313 1
< 0.1%
4.36 1
< 0.1%
ValueCountFrequency (%)
22.6916 1
< 0.1%
21.8453 1
< 0.1%
21.3982 1
< 0.1%
20.5284 1
< 0.1%
20.3664 1
< 0.1%

var_144
Real number (ℝ)

Distinct8679
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.63990154
Minimum5.4443
Maximum11.4641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:41.273756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.4443
5-th percentile7.130495
Q17.95
median8.65075
Q39.299625
95-th percentile10.179415
Maximum11.4641
Range6.0198
Interquartile range (IQR)1.349625

Descriptive statistics

Standard deviation0.9267833439
Coefficient of variation (CV)0.1072678131
Kurtosis-0.5189949588
Mean8.63990154
Median Absolute Deviation (MAD)0.6759
Skewness0.002218990837
Sum86399.0154
Variance0.8589273666
MonotonicityNot monotonic
2025-02-26T22:42:41.678491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8591 5
 
0.1%
7.23 4
 
< 0.1%
8.9351 4
 
< 0.1%
8.6237 4
 
< 0.1%
9.2839 4
 
< 0.1%
7.6347 4
 
< 0.1%
8.7101 4
 
< 0.1%
7.6317 4
 
< 0.1%
8.6138 4
 
< 0.1%
9.1854 4
 
< 0.1%
Other values (8669) 9959
99.6%
ValueCountFrequency (%)
5.4443 1
< 0.1%
5.8612 1
< 0.1%
5.9637 1
< 0.1%
6.0062 1
< 0.1%
6.1352 1
< 0.1%
ValueCountFrequency (%)
11.4641 1
< 0.1%
11.2714 1
< 0.1%
11.2457 1
< 0.1%
11.2154 1
< 0.1%
11.1715 1
< 0.1%

var_145
Real number (ℝ)

Distinct9623
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.83051695
Minimum-7.8921
Maximum14.9186
Zeros0
Zeros (%)0.0%
Negative1227
Negative (%)12.3%
Memory size156.2 KiB
2025-02-26T22:42:42.061500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.8921
5-th percentile-1.53221
Q11.807425
median4.93555
Q37.698825
95-th percentile11.269585
Maximum14.9186
Range22.8107
Interquartile range (IQR)5.8914

Descriptive statistics

Standard deviation3.928070487
Coefficient of variation (CV)0.8131780776
Kurtosis-0.55081699
Mean4.83051695
Median Absolute Deviation (MAD)2.93395
Skewness0.02387933844
Sum48305.1695
Variance15.42973775
MonotonicityNot monotonic
2025-02-26T22:42:42.469847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9777 4
 
< 0.1%
4.886 3
 
< 0.1%
7.896 3
 
< 0.1%
1.7552 3
 
< 0.1%
1.4844 3
 
< 0.1%
2.8396 3
 
< 0.1%
3.8838 3
 
< 0.1%
2.6787 2
 
< 0.1%
1.3785 2
 
< 0.1%
4.5983 2
 
< 0.1%
Other values (9613) 9972
99.7%
ValueCountFrequency (%)
-7.8921 1
< 0.1%
-6.7574 1
< 0.1%
-6.7401 1
< 0.1%
-5.7672 1
< 0.1%
-5.6456 1
< 0.1%
ValueCountFrequency (%)
14.9186 1
< 0.1%
14.8846 1
< 0.1%
14.8402 1
< 0.1%
14.6905 1
< 0.1%
14.6554 1
< 0.1%

var_146
Real number (ℝ)

Distinct9455
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.3678028
Minimum1.5914
Maximum18.9828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:42.885339image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.5914
5-th percentile6.07842
Q18.687375
median10.4255
Q312.1359
95-th percentile14.434255
Maximum18.9828
Range17.3914
Interquartile range (IQR)3.448525

Descriptive statistics

Standard deviation2.532846058
Coefficient of variation (CV)0.2442992124
Kurtosis-0.1229108188
Mean10.3678028
Median Absolute Deviation (MAD)1.7245
Skewness-0.1407713462
Sum103678.028
Variance6.415309154
MonotonicityNot monotonic
2025-02-26T22:42:43.318931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.937 5
 
0.1%
10.9092 4
 
< 0.1%
11.162 3
 
< 0.1%
10.4994 3
 
< 0.1%
9.4573 3
 
< 0.1%
9.5427 3
 
< 0.1%
8.8833 3
 
< 0.1%
11.6957 3
 
< 0.1%
9.4387 3
 
< 0.1%
9.0783 3
 
< 0.1%
Other values (9445) 9967
99.7%
ValueCountFrequency (%)
1.5914 1
< 0.1%
1.8388 1
< 0.1%
1.9206 1
< 0.1%
1.9342 1
< 0.1%
2.0956 1
< 0.1%
ValueCountFrequency (%)
18.9828 1
< 0.1%
18.5746 1
< 0.1%
18.5052 1
< 0.1%
18.1575 1
< 0.1%
18.0939 1
< 0.1%

var_147
Real number (ℝ)

Distinct9784
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.30276509
Minimum-23.7863
Maximum20.0571
Zeros1
Zeros (%)< 0.1%
Negative6561
Negative (%)65.6%
Memory size156.2 KiB
2025-02-26T22:42:43.744576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-23.7863
5-th percentile-15.428685
Q1-8.727625
median-3.18375
Q32.0211
95-th percentile8.796525
Maximum20.0571
Range43.8434
Interquartile range (IQR)10.748725

Descriptive statistics

Standard deviation7.392366152
Coefficient of variation (CV)-2.238235524
Kurtosis-0.4611171893
Mean-3.30276509
Median Absolute Deviation (MAD)5.37205
Skewness0.01995427219
Sum-33027.6509
Variance54.64707732
MonotonicityNot monotonic
2025-02-26T22:42:44.156014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.3875 3
 
< 0.1%
-7.4076 3
 
< 0.1%
-3.2297 3
 
< 0.1%
0.2622 3
 
< 0.1%
-5.8159 2
 
< 0.1%
7.1701 2
 
< 0.1%
0.4277 2
 
< 0.1%
3.8984 2
 
< 0.1%
0.5822 2
 
< 0.1%
-11.3526 2
 
< 0.1%
Other values (9774) 9976
99.8%
ValueCountFrequency (%)
-23.7863 1
< 0.1%
-23.6356 1
< 0.1%
-23.4602 1
< 0.1%
-23.4548 1
< 0.1%
-22.7651 1
< 0.1%
ValueCountFrequency (%)
20.0571 1
< 0.1%
19.28 1
< 0.1%
18.9175 1
< 0.1%
18.8258 1
< 0.1%
18.0812 1
< 0.1%

var_148
Real number (ℝ)

Distinct5568
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.98667451
Minimum3.4
Maximum4.6624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:44.556342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.642775
Q13.84945
median3.99165
Q34.1289
95-th percentile4.307505
Maximum4.6624
Range1.2624
Interquartile range (IQR)0.27945

Descriptive statistics

Standard deviation0.1994305311
Coefficient of variation (CV)0.05002428229
Kurtosis-0.3555567544
Mean3.98667451
Median Absolute Deviation (MAD)0.13955
Skewness-0.07222383002
Sum39866.7451
Variance0.03977253673
MonotonicityNot monotonic
2025-02-26T22:42:44.995292image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0102 8
 
0.1%
4.0119 8
 
0.1%
4.0462 7
 
0.1%
4.0593 7
 
0.1%
3.7765 7
 
0.1%
3.8937 7
 
0.1%
4.0227 7
 
0.1%
4.0312 7
 
0.1%
4.0901 7
 
0.1%
4.0622 7
 
0.1%
Other values (5558) 9928
99.3%
ValueCountFrequency (%)
3.4 1
< 0.1%
3.4022 1
< 0.1%
3.4246 1
< 0.1%
3.4336 1
< 0.1%
3.4456 1
< 0.1%
ValueCountFrequency (%)
4.6624 1
< 0.1%
4.6083 1
< 0.1%
4.5828 1
< 0.1%
4.5707 1
< 0.1%
4.565 1
< 0.1%

var_149
Real number (ℝ)

Distinct9813
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.26927343
Minimum-32.7904
Maximum48.424
Zeros0
Zeros (%)0.0%
Negative3105
Negative (%)31.1%
Memory size156.2 KiB
2025-02-26T22:42:45.416652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-32.7904
5-th percentile-12.07632
Q1-1.775675
median5.12455
Q312.63825
95-th percentile22.374895
Maximum48.424
Range81.2144
Interquartile range (IQR)14.413925

Descriptive statistics

Standard deviation10.36686777
Coefficient of variation (CV)1.96741883
Kurtosis-0.2786677039
Mean5.26927343
Median Absolute Deviation (MAD)7.2148
Skewness0.01029891324
Sum52692.7343
Variance107.4719473
MonotonicityNot monotonic
2025-02-26T22:42:45.892915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.9028 3
 
< 0.1%
24.2024 3
 
< 0.1%
-0.0465 3
 
< 0.1%
-3.4436 2
 
< 0.1%
2.1819 2
 
< 0.1%
9.6988 2
 
< 0.1%
2.9211 2
 
< 0.1%
18.9092 2
 
< 0.1%
8.5906 2
 
< 0.1%
19.5941 2
 
< 0.1%
Other values (9803) 9977
99.8%
ValueCountFrequency (%)
-32.7904 1
< 0.1%
-30.8788 1
< 0.1%
-30.0126 1
< 0.1%
-28.8072 1
< 0.1%
-28.0887 1
< 0.1%
ValueCountFrequency (%)
48.424 1
< 0.1%
44.324 1
< 0.1%
41.7643 1
< 0.1%
40.5781 1
< 0.1%
40.3865 1
< 0.1%

var_150
Real number (ℝ)

Distinct9432
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.80615038
Minimum9.9827
Maximum24.4062
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:46.317750image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9.9827
5-th percentile12.80493
Q114.9353
median16.73885
Q318.69845
95-th percentile20.812905
Maximum24.4062
Range14.4235
Interquartile range (IQR)3.76315

Descriptive statistics

Standard deviation2.455287416
Coefficient of variation (CV)0.1460945761
Kurtosis-0.6815295358
Mean16.80615038
Median Absolute Deviation (MAD)1.87605
Skewness0.06238248123
Sum168061.5038
Variance6.028436294
MonotonicityNot monotonic
2025-02-26T22:42:46.741035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.8798 4
 
< 0.1%
15.5353 3
 
< 0.1%
14.3066 3
 
< 0.1%
15.1847 3
 
< 0.1%
19.7363 3
 
< 0.1%
15.2849 3
 
< 0.1%
17.1807 3
 
< 0.1%
17.0535 3
 
< 0.1%
15.5587 3
 
< 0.1%
13.7777 3
 
< 0.1%
Other values (9422) 9969
99.7%
ValueCountFrequency (%)
9.9827 1
< 0.1%
10.7739 1
< 0.1%
10.9453 1
< 0.1%
11.099 1
< 0.1%
11.1116 1
< 0.1%
ValueCountFrequency (%)
24.4062 1
< 0.1%
23.7652 1
< 0.1%
23.721 1
< 0.1%
23.6789 1
< 0.1%
23.63 1
< 0.1%

var_151
Real number (ℝ)

Distinct9639
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.1353959
Minimum-0.9779
Maximum20.5644
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)< 0.1%
Memory size156.2 KiB
2025-02-26T22:42:47.167486image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9779
5-th percentile3.84803
Q17.055325
median10.0961
Q313.07655
95-th percentile16.67973
Maximum20.5644
Range21.5423
Interquartile range (IQR)6.021225

Descriptive statistics

Standard deviation3.985618824
Coefficient of variation (CV)0.3932376065
Kurtosis-0.5854894438
Mean10.1353959
Median Absolute Deviation (MAD)3.0111
Skewness0.1040996482
Sum101353.959
Variance15.88515741
MonotonicityNot monotonic
2025-02-26T22:42:47.558340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.7334 3
 
< 0.1%
10.9622 3
 
< 0.1%
12.182 3
 
< 0.1%
9.9623 3
 
< 0.1%
8.5415 3
 
< 0.1%
12.7795 3
 
< 0.1%
6.9621 3
 
< 0.1%
7.2258 3
 
< 0.1%
11.1478 3
 
< 0.1%
7.4807 3
 
< 0.1%
Other values (9629) 9970
99.7%
ValueCountFrequency (%)
-0.9779 1
< 0.1%
-0.9166 1
< 0.1%
-0.3096 1
< 0.1%
-0.2966 1
< 0.1%
-0.1472 1
< 0.1%
ValueCountFrequency (%)
20.5644 1
< 0.1%
20.5339 1
< 0.1%
20.4629 1
< 0.1%
20.3963 1
< 0.1%
20.3152 1
< 0.1%

var_152
Real number (ℝ)

Distinct9542
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.63226782
Minimum-1.5717
Maximum17.5559
Zeros0
Zeros (%)0.0%
Negative53
Negative (%)0.5%
Memory size156.2 KiB
2025-02-26T22:42:47.957259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5717
5-th percentile2.57228
Q15.51365
median7.6617
Q39.83975
95-th percentile12.433555
Maximum17.5559
Range19.1276
Interquartile range (IQR)4.3261

Descriptive statistics

Standard deviation3.018840406
Coefficient of variation (CV)0.3955364876
Kurtosis-0.3257352014
Mean7.63226782
Median Absolute Deviation (MAD)2.1629
Skewness-0.1030472182
Sum76322.6782
Variance9.113397396
MonotonicityNot monotonic
2025-02-26T22:42:48.442727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.1348 4
 
< 0.1%
10.6686 3
 
< 0.1%
8.6029 3
 
< 0.1%
6.378 3
 
< 0.1%
5.0558 3
 
< 0.1%
4.9001 3
 
< 0.1%
6.9472 3
 
< 0.1%
6.1339 3
 
< 0.1%
7.7738 3
 
< 0.1%
9.77 3
 
< 0.1%
Other values (9532) 9969
99.7%
ValueCountFrequency (%)
-1.5717 1
< 0.1%
-1.5376 1
< 0.1%
-1.2561 1
< 0.1%
-1.2256 1
< 0.1%
-1.2014 1
< 0.1%
ValueCountFrequency (%)
17.5559 1
< 0.1%
16.9748 1
< 0.1%
16.6022 1
< 0.1%
16.0795 1
< 0.1%
16.0178 1
< 0.1%

var_153
Real number (ℝ)

Distinct9383
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.74034529
Minimum11.6459
Maximum22.455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:48.893211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11.6459
5-th percentile13.47352
Q115.236
median16.7021
Q318.273375
95-th percentile19.99436
Maximum22.455
Range10.8091
Interquartile range (IQR)3.037375

Descriptive statistics

Standard deviation2.010658664
Coefficient of variation (CV)0.1201085539
Kurtosis-0.637225629
Mean16.74034529
Median Absolute Deviation (MAD)1.51045
Skewness0.02412697145
Sum167403.4529
Variance4.042748264
MonotonicityNot monotonic
2025-02-26T22:42:49.337236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.6497 4
 
< 0.1%
15.3254 4
 
< 0.1%
17.5324 4
 
< 0.1%
16.1729 3
 
< 0.1%
18.5074 3
 
< 0.1%
15.6358 3
 
< 0.1%
14.2875 3
 
< 0.1%
16.1475 3
 
< 0.1%
16.5966 3
 
< 0.1%
16.8296 3
 
< 0.1%
Other values (9373) 9967
99.7%
ValueCountFrequency (%)
11.6459 1
< 0.1%
12.1356 1
< 0.1%
12.1489 1
< 0.1%
12.1613 1
< 0.1%
12.17 1
< 0.1%
ValueCountFrequency (%)
22.455 1
< 0.1%
22.3139 1
< 0.1%
22.2521 1
< 0.1%
22.2258 1
< 0.1%
22.2226 1
< 0.1%

var_154
Real number (ℝ)

Distinct9733
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0287211
Minimum-6.1714
Maximum21.3918
Zeros0
Zeros (%)0.0%
Negative830
Negative (%)8.3%
Memory size156.2 KiB
2025-02-26T22:42:49.732150image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-6.1714
5-th percentile-1.19058
Q13.335775
median7.0425
Q310.83485
95-th percentile15.04071
Maximum21.3918
Range27.5632
Interquartile range (IQR)7.499075

Descriptive statistics

Standard deviation4.981942412
Coefficient of variation (CV)0.7087978511
Kurtosis-0.6122556053
Mean7.0287211
Median Absolute Deviation (MAD)3.74705
Skewness-0.03797234236
Sum70287.211
Variance24.8197502
MonotonicityNot monotonic
2025-02-26T22:42:50.118512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.9775 3
 
< 0.1%
11.6158 3
 
< 0.1%
8.7502 3
 
< 0.1%
5.7136 2
 
< 0.1%
6.0969 2
 
< 0.1%
13.4228 2
 
< 0.1%
9.9899 2
 
< 0.1%
5.4453 2
 
< 0.1%
13.2375 2
 
< 0.1%
11.2835 2
 
< 0.1%
Other values (9723) 9977
99.8%
ValueCountFrequency (%)
-6.1714 1
< 0.1%
-6.1292 1
< 0.1%
-6.0741 1
< 0.1%
-5.7344 1
< 0.1%
-5.6903 1
< 0.1%
ValueCountFrequency (%)
21.3918 1
< 0.1%
20.4894 1
< 0.1%
20.4294 1
< 0.1%
20.2965 1
< 0.1%
20.2173 1
< 0.1%

var_155
Real number (ℝ)

Distinct9760
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.07152483
Minimum-20.3415
Maximum15.2578
Zeros0
Zeros (%)0.0%
Negative6304
Negative (%)63.0%
Memory size156.2 KiB
2025-02-26T22:42:50.512381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-20.3415
5-th percentile-11.361875
Q1-6.252325
median-1.99735
Q31.874575
95-th percentile7.61063
Maximum15.2578
Range35.5993
Interquartile range (IQR)8.1269

Descriptive statistics

Standard deviation5.808157283
Coefficient of variation (CV)-2.803807707
Kurtosis-0.322279152
Mean-2.07152483
Median Absolute Deviation (MAD)4.08305
Skewness0.07089612352
Sum-20715.2483
Variance33.73469102
MonotonicityNot monotonic
2025-02-26T22:42:50.904355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.4368 3
 
< 0.1%
-9.8136 3
 
< 0.1%
0.1275 3
 
< 0.1%
-1.5697 2
 
< 0.1%
-2.9852 2
 
< 0.1%
4.4617 2
 
< 0.1%
6.8171 2
 
< 0.1%
-7.3111 2
 
< 0.1%
-1.381 2
 
< 0.1%
-5.0948 2
 
< 0.1%
Other values (9750) 9977
99.8%
ValueCountFrequency (%)
-20.3415 1
< 0.1%
-19.8248 1
< 0.1%
-19.5039 1
< 0.1%
-19.0067 1
< 0.1%
-18.9142 1
< 0.1%
ValueCountFrequency (%)
15.2578 1
< 0.1%
15.1097 1
< 0.1%
14.8894 1
< 0.1%
14.6685 1
< 0.1%
14.5555 1
< 0.1%

var_156
Real number (ℝ)

Distinct8703
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.22361876
Minimum10.5246
Maximum16.1804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:51.304601image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10.5246
5-th percentile11.720465
Q112.496075
median13.19495
Q313.94005
95-th percentile14.79102
Maximum16.1804
Range5.6558
Interquartile range (IQR)1.443975

Descriptive statistics

Standard deviation0.9510433446
Coefficient of variation (CV)0.07192005168
Kurtosis-0.6672687942
Mean13.22361876
Median Absolute Deviation (MAD)0.7188
Skewness0.09153886925
Sum132236.1876
Variance0.9044834433
MonotonicityNot monotonic
2025-02-26T22:42:51.684183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.5944 4
 
< 0.1%
12.4569 4
 
< 0.1%
14.5885 4
 
< 0.1%
13.1925 4
 
< 0.1%
13.415 4
 
< 0.1%
13.0317 4
 
< 0.1%
13.1871 4
 
< 0.1%
13.0725 4
 
< 0.1%
14.3612 3
 
< 0.1%
12.2987 3
 
< 0.1%
Other values (8693) 9962
99.6%
ValueCountFrequency (%)
10.5246 1
< 0.1%
10.7484 1
< 0.1%
10.7947 1
< 0.1%
10.85 1
< 0.1%
10.8665 1
< 0.1%
ValueCountFrequency (%)
16.1804 1
< 0.1%
16.0434 1
< 0.1%
15.9706 1
< 0.1%
15.9069 1
< 0.1%
15.8843 1
< 0.1%

var_157
Real number (ℝ)

Distinct9736
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.89020265
Minimum-22.4838
Maximum10.7175
Zeros0
Zeros (%)0.0%
Negative8069
Negative (%)80.7%
Memory size156.2 KiB
2025-02-26T22:42:52.066069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-22.4838
5-th percentile-13.533
Q1-8.994625
median-4.9935
Q3-1.02995
95-th percentile4.35099
Maximum10.7175
Range33.2013
Interquartile range (IQR)7.964675

Descriptive statistics

Standard deviation5.522234011
Coefficient of variation (CV)-1.129244411
Kurtosis-0.3800535389
Mean-4.89020265
Median Absolute Deviation (MAD)3.98155
Skewness0.1582136096
Sum-48902.0265
Variance30.49506848
MonotonicityNot monotonic
2025-02-26T22:42:52.469492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.6079 3
 
< 0.1%
-6.0923 3
 
< 0.1%
-3.1459 3
 
< 0.1%
0.2326 3
 
< 0.1%
-8.8632 3
 
< 0.1%
-7.618 3
 
< 0.1%
-12.1165 3
 
< 0.1%
-0.2022 3
 
< 0.1%
-10.6624 2
 
< 0.1%
1.6163 2
 
< 0.1%
Other values (9726) 9972
99.7%
ValueCountFrequency (%)
-22.4838 1
< 0.1%
-20.9363 1
< 0.1%
-20.0702 1
< 0.1%
-19.8168 1
< 0.1%
-19.5822 1
< 0.1%
ValueCountFrequency (%)
10.7175 1
< 0.1%
10.2169 1
< 0.1%
10.139 1
< 0.1%
10.1072 1
< 0.1%
10.0784 1
< 0.1%

var_158
Real number (ℝ)

Distinct9818
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.8349729
Minimum-1.0046
Maximum41.3918
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size156.2 KiB
2025-02-26T22:42:52.867697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.0046
5-th percentile4.95394
Q111.980175
median17.5257
Q323.8369
95-th percentile30.789225
Maximum41.3918
Range42.3964
Interquartile range (IQR)11.856725

Descriptive statistics

Standard deviation7.918169319
Coefficient of variation (CV)0.4439686768
Kurtosis-0.5980571785
Mean17.8349729
Median Absolute Deviation (MAD)5.92
Skewness0.05083780798
Sum178349.729
Variance62.69740537
MonotonicityNot monotonic
2025-02-26T22:42:53.252170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.2975 2
 
< 0.1%
32.5737 2
 
< 0.1%
23.8505 2
 
< 0.1%
5.5029 2
 
< 0.1%
30.3199 2
 
< 0.1%
19.8219 2
 
< 0.1%
13.2278 2
 
< 0.1%
15.9592 2
 
< 0.1%
23.6181 2
 
< 0.1%
21.1296 2
 
< 0.1%
Other values (9808) 9980
99.8%
ValueCountFrequency (%)
-1.0046 1
< 0.1%
-0.7524 1
< 0.1%
-0.3356 1
< 0.1%
0.1848 1
< 0.1%
0.243 1
< 0.1%
ValueCountFrequency (%)
41.3918 1
< 0.1%
41.0109 1
< 0.1%
40.9465 1
< 0.1%
40.2091 1
< 0.1%
40.1798 1
< 0.1%

var_159
Real number (ℝ)

Distinct9677
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.26722477
Minimum-3.1417
Maximum22.5107
Zeros0
Zeros (%)0.0%
Negative30
Negative (%)0.3%
Memory size156.2 KiB
2025-02-26T22:42:53.626744image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-3.1417
5-th percentile3.64615
Q17.296525
median10.30675
Q313.168475
95-th percentile17.21289
Maximum22.5107
Range25.6524
Interquartile range (IQR)5.87195

Descriptive statistics

Standard deviation4.11462093
Coefficient of variation (CV)0.4007529807
Kurtosis-0.4204728791
Mean10.26722477
Median Absolute Deviation (MAD)2.94145
Skewness0.034163341
Sum102672.2477
Variance16.9301054
MonotonicityNot monotonic
2025-02-26T22:42:54.029240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5826 3
 
< 0.1%
7.7813 3
 
< 0.1%
8.1481 3
 
< 0.1%
11.0415 3
 
< 0.1%
14.0608 3
 
< 0.1%
10.356 3
 
< 0.1%
12.7738 3
 
< 0.1%
11.0911 3
 
< 0.1%
12.5394 3
 
< 0.1%
10.3283 3
 
< 0.1%
Other values (9667) 9970
99.7%
ValueCountFrequency (%)
-3.1417 1
< 0.1%
-3.0799 1
< 0.1%
-1.9932 1
< 0.1%
-1.2742 1
< 0.1%
-1.1567 1
< 0.1%
ValueCountFrequency (%)
22.5107 1
< 0.1%
21.9187 1
< 0.1%
21.9028 1
< 0.1%
21.8718 1
< 0.1%
21.7361 1
< 0.1%

var_160
Real number (ℝ)

Distinct9892
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.32230405
Minimum-2.4919
Maximum57.2121
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)0.1%
Memory size156.2 KiB
2025-02-26T22:42:54.407524image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.4919
5-th percentile6.975745
Q115.696425
median23.8517
Q332.86015
95-th percentile42.385455
Maximum57.2121
Range59.704
Interquartile range (IQR)17.163725

Descriptive statistics

Standard deviation10.96151724
Coefficient of variation (CV)0.4506775846
Kurtosis-0.7997699693
Mean24.32230405
Median Absolute Deviation (MAD)8.5446
Skewness0.1036989472
Sum243223.0405
Variance120.1548602
MonotonicityNot monotonic
2025-02-26T22:42:54.818100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.6229 3
 
< 0.1%
24.2029 2
 
< 0.1%
23.1563 2
 
< 0.1%
26.2765 2
 
< 0.1%
20.59 2
 
< 0.1%
17.694 2
 
< 0.1%
38.3303 2
 
< 0.1%
15.4829 2
 
< 0.1%
39.7468 2
 
< 0.1%
32.903 2
 
< 0.1%
Other values (9882) 9979
99.8%
ValueCountFrequency (%)
-2.4919 1
< 0.1%
-2.4833 1
< 0.1%
-2.1502 1
< 0.1%
-1.9823 1
< 0.1%
-1.9008 1
< 0.1%
ValueCountFrequency (%)
57.2121 1
< 0.1%
54.8662 1
< 0.1%
54.5702 1
< 0.1%
54.033 1
< 0.1%
53.9389 1
< 0.1%

var_161
Real number (ℝ)

Distinct5844
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.63409016
Minimum4.9777
Maximum6.253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:55.219434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.9777
5-th percentile5.276495
Q15.46895
median5.6382
Q35.7938
95-th percentile5.99684
Maximum6.253
Range1.2753
Interquartile range (IQR)0.32485

Descriptive statistics

Standard deviation0.2198455604
Coefficient of variation (CV)0.03902059678
Kurtosis-0.542241372
Mean5.63409016
Median Absolute Deviation (MAD)0.1629
Skewness-0.0001763541695
Sum56340.9016
Variance0.04833207041
MonotonicityNot monotonic
2025-02-26T22:42:55.637503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5948 7
 
0.1%
5.6602 7
 
0.1%
5.8102 7
 
0.1%
5.6603 6
 
0.1%
5.6398 6
 
0.1%
5.6572 6
 
0.1%
5.5608 6
 
0.1%
5.5437 6
 
0.1%
5.5748 6
 
0.1%
5.5878 6
 
0.1%
Other values (5834) 9937
99.4%
ValueCountFrequency (%)
4.9777 1
< 0.1%
5.0087 1
< 0.1%
5.0105 1
< 0.1%
5.0145 1
< 0.1%
5.0256 1
< 0.1%
ValueCountFrequency (%)
6.253 1
< 0.1%
6.2317 1
< 0.1%
6.23 1
< 0.1%
6.2215 1
< 0.1%
6.1851 1
< 0.1%

var_162
Real number (ℝ)

Distinct9109
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.38199535
Minimum1.1739
Maximum10.1344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:56.039883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.1739
5-th percentile3.0788
Q14.323875
median5.3606
Q36.39425
95-th percentile7.776005
Maximum10.1344
Range8.9605
Interquartile range (IQR)2.070375

Descriptive statistics

Standard deviation1.438126956
Coefficient of variation (CV)0.2672107393
Kurtosis-0.431168726
Mean5.38199535
Median Absolute Deviation (MAD)1.0344
Skewness0.09891443728
Sum53819.9535
Variance2.068209142
MonotonicityNot monotonic
2025-02-26T22:42:56.438032image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.2812 4
 
< 0.1%
5.795 4
 
< 0.1%
5.2127 4
 
< 0.1%
5.7016 4
 
< 0.1%
4.7288 4
 
< 0.1%
4.4816 3
 
< 0.1%
5.4601 3
 
< 0.1%
4.0113 3
 
< 0.1%
7.4939 3
 
< 0.1%
4.2786 3
 
< 0.1%
Other values (9099) 9965
99.7%
ValueCountFrequency (%)
1.1739 1
< 0.1%
1.1834 1
< 0.1%
1.2798 1
< 0.1%
1.3013 1
< 0.1%
1.3682 1
< 0.1%
ValueCountFrequency (%)
10.1344 1
< 0.1%
9.9018 1
< 0.1%
9.832 1
< 0.1%
9.7279 1
< 0.1%
9.5471 1
< 0.1%

var_163
Real number (ℝ)

Distinct9726
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.03684873
Minimum-6.5317
Maximum26.5465
Zeros0
Zeros (%)0.0%
Negative72
Negative (%)0.7%
Memory size156.2 KiB
2025-02-26T22:42:56.798727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-6.5317
5-th percentile3.002775
Q17.1063
median10.862
Q314.657875
95-th percentile19.893035
Maximum26.5465
Range33.0782
Interquartile range (IQR)7.551575

Descriptive statistics

Standard deviation5.220148531
Coefficient of variation (CV)0.4729745472
Kurtosis-0.3347379475
Mean11.03684873
Median Absolute Deviation (MAD)3.77745
Skewness0.2132929279
Sum110368.4873
Variance27.24995069
MonotonicityNot monotonic
2025-02-26T22:42:57.162128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.8271 3
 
< 0.1%
10.809 3
 
< 0.1%
12.3169 3
 
< 0.1%
11.3955 3
 
< 0.1%
6.9238 3
 
< 0.1%
14.0632 3
 
< 0.1%
10.0368 2
 
< 0.1%
7.7184 2
 
< 0.1%
6.7002 2
 
< 0.1%
17.3226 2
 
< 0.1%
Other values (9716) 9974
99.7%
ValueCountFrequency (%)
-6.5317 1
< 0.1%
-4.9492 1
< 0.1%
-4.9252 1
< 0.1%
-3.3392 1
< 0.1%
-2.7598 1
< 0.1%
ValueCountFrequency (%)
26.5465 1
< 0.1%
26.113 1
< 0.1%
26.0723 1
< 0.1%
25.8718 1
< 0.1%
25.8466 1
< 0.1%

var_164
Real number (ℝ)

Distinct9704
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.8179778
Minimum-19.0831
Maximum10.2346
Zeros0
Zeros (%)0.0%
Negative6561
Negative (%)65.6%
Memory size156.2 KiB
2025-02-26T22:42:57.552934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-19.0831
5-th percentile-11.77752
Q1-7.087525
median-2.5136
Q31.372575
95-th percentile5.71557
Maximum10.2346
Range29.3177
Interquartile range (IQR)8.4601

Descriptive statistics

Standard deviation5.45970546
Coefficient of variation (CV)-1.9374551
Kurtosis-0.7264614207
Mean-2.8179778
Median Absolute Deviation (MAD)4.1613
Skewness-0.0948481612
Sum-28179.778
Variance29.80838371
MonotonicityNot monotonic
2025-02-26T22:42:57.934121image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.468 4
 
< 0.1%
-1.8381 3
 
< 0.1%
0.9445 3
 
< 0.1%
-3.7144 3
 
< 0.1%
-8.6294 2
 
< 0.1%
-6.1328 2
 
< 0.1%
-7.5933 2
 
< 0.1%
-8.3079 2
 
< 0.1%
-1.384 2
 
< 0.1%
-7.3956 2
 
< 0.1%
Other values (9694) 9975
99.8%
ValueCountFrequency (%)
-19.0831 1
< 0.1%
-18.4767 1
< 0.1%
-17.8489 1
< 0.1%
-17.8358 1
< 0.1%
-17.5847 1
< 0.1%
ValueCountFrequency (%)
10.2346 1
< 0.1%
10.082 1
< 0.1%
9.3404 2
< 0.1%
9.3326 1
< 0.1%
9.3164 1
< 0.1%

var_165
Real number (ℝ)

Distinct9708
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.40828865
Minimum5.782
Maximum35.8306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:58.316847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.782
5-th percentile10.914945
Q115.768575
median19.38405
Q323.144975
95-th percentile27.601445
Maximum35.8306
Range30.0486
Interquartile range (IQR)7.3764

Descriptive statistics

Standard deviation5.075576064
Coefficient of variation (CV)0.2615158995
Kurtosis-0.4597917285
Mean19.40828865
Median Absolute Deviation (MAD)3.6968
Skewness-0.03175675223
Sum194082.8865
Variance25.76147238
MonotonicityNot monotonic
2025-02-26T22:42:58.731113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.1657 3
 
< 0.1%
14.4234 3
 
< 0.1%
13.4254 3
 
< 0.1%
15.2009 3
 
< 0.1%
14.8198 3
 
< 0.1%
7.7844 2
 
< 0.1%
19.6098 2
 
< 0.1%
18.4391 2
 
< 0.1%
17.1624 2
 
< 0.1%
22.5812 2
 
< 0.1%
Other values (9698) 9975
99.8%
ValueCountFrequency (%)
5.782 1
< 0.1%
6.0245 1
< 0.1%
6.0442 1
< 0.1%
6.3719 1
< 0.1%
6.3917 1
< 0.1%
ValueCountFrequency (%)
35.8306 1
< 0.1%
34.2697 1
< 0.1%
34.1923 1
< 0.1%
34.1428 1
< 0.1%
34.0074 1
< 0.1%

var_166
Real number (ℝ)

Distinct7065
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.96541811
Minimum1.9332
Maximum4.0844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:42:59.168676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.9332
5-th percentile2.354295
Q12.6999
median2.96315
Q33.239625
95-th percentile3.555705
Maximum4.0844
Range2.1512
Interquartile range (IQR)0.539725

Descriptive statistics

Standard deviation0.3679935003
Coefficient of variation (CV)0.1240949797
Kurtosis-0.4947086888
Mean2.96541811
Median Absolute Deviation (MAD)0.2691
Skewness-0.0564369299
Sum29654.1811
Variance0.1354192162
MonotonicityNot monotonic
2025-02-26T22:42:59.579377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8905 6
 
0.1%
3.284 5
 
0.1%
2.8203 5
 
0.1%
3.1313 5
 
0.1%
3.1488 5
 
0.1%
3.0334 5
 
0.1%
2.9223 5
 
0.1%
2.735 5
 
0.1%
2.5948 5
 
0.1%
3.1609 5
 
0.1%
Other values (7055) 9949
99.5%
ValueCountFrequency (%)
1.9332 1
< 0.1%
1.9914 1
< 0.1%
2.0013 1
< 0.1%
2.028 1
< 0.1%
2.0347 1
< 0.1%
ValueCountFrequency (%)
4.0844 1
< 0.1%
4.0092 1
< 0.1%
4.0001 1
< 0.1%
3.9813 1
< 0.1%
3.9623 1
< 0.1%

var_167
Real number (ℝ)

Distinct9827
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.16849404
Minimum-33.512
Maximum18.1359
Zeros1
Zeros (%)< 0.1%
Negative6895
Negative (%)69.0%
Memory size156.2 KiB
2025-02-26T22:42:59.959198image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-33.512
5-th percentile-17.290635
Q1-9.7379
median-3.98445
Q31.3097
95-th percentile9.02402
Maximum18.1359
Range51.6479
Interquartile range (IQR)11.0476

Descriptive statistics

Standard deviation7.882234105
Coefficient of variation (CV)-1.890906891
Kurtosis-0.394153029
Mean-4.16849404
Median Absolute Deviation (MAD)5.52405
Skewness-0.07105079316
Sum-41684.9404
Variance62.12961448
MonotonicityNot monotonic
2025-02-26T22:43:00.508451image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8046 3
 
< 0.1%
-20.1186 2
 
< 0.1%
-5.5878 2
 
< 0.1%
2.6443 2
 
< 0.1%
2.3617 2
 
< 0.1%
-3.6709 2
 
< 0.1%
-4.0058 2
 
< 0.1%
-0.4762 2
 
< 0.1%
-9.4434 2
 
< 0.1%
0.2536 2
 
< 0.1%
Other values (9817) 9979
99.8%
ValueCountFrequency (%)
-33.512 1
< 0.1%
-30.2968 1
< 0.1%
-28.2417 1
< 0.1%
-27.5719 1
< 0.1%
-27.2402 1
< 0.1%
ValueCountFrequency (%)
18.1359 1
< 0.1%
17.316 1
< 0.1%
17.0128 1
< 0.1%
16.9406 1
< 0.1%
16.7342 1
< 0.1%

var_168
Real number (ℝ)

Distinct9563
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.89858178
Minimum-4.2184
Maximum13.7852
Zeros0
Zeros (%)0.0%
Negative422
Negative (%)4.2%
Memory size156.2 KiB
2025-02-26T22:43:00.977172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.2184
5-th percentile0.163585
Q12.636675
median4.73145
Q36.9518
95-th percentile10.398015
Maximum13.7852
Range18.0036
Interquartile range (IQR)4.315125

Descriptive statistics

Standard deviation3.090513199
Coefficient of variation (CV)0.6308995823
Kurtosis-0.1973421802
Mean4.89858178
Median Absolute Deviation (MAD)2.1555
Skewness0.2932502685
Sum48985.8178
Variance9.551271832
MonotonicityNot monotonic
2025-02-26T22:43:01.457620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3281 3
 
< 0.1%
7.5525 3
 
< 0.1%
5.4139 3
 
< 0.1%
5.494 3
 
< 0.1%
6.2976 3
 
< 0.1%
6.656 3
 
< 0.1%
2.5822 3
 
< 0.1%
5.8271 3
 
< 0.1%
5.9587 3
 
< 0.1%
6.5637 3
 
< 0.1%
Other values (9553) 9970
99.7%
ValueCountFrequency (%)
-4.2184 1
< 0.1%
-4.0318 1
< 0.1%
-3.9829 1
< 0.1%
-3.8177 1
< 0.1%
-3.5974 1
< 0.1%
ValueCountFrequency (%)
13.7852 1
< 0.1%
13.751 1
< 0.1%
13.7416 1
< 0.1%
13.6815 1
< 0.1%
13.6052 1
< 0.1%

var_169
Real number (ℝ)

Distinct7101
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.63348381
Minimum4.4199
Maximum6.8141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:01.861978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum4.4199
5-th percentile5.00197
Q15.370075
median5.6353
Q35.902725
95-th percentile6.239505
Maximum6.8141
Range2.3942
Interquartile range (IQR)0.53265

Descriptive statistics

Standard deviation0.3723631747
Coefficient of variation (CV)0.06609820623
Kurtosis-0.4395990401
Mean5.63348381
Median Absolute Deviation (MAD)0.2659
Skewness-0.03815245129
Sum56334.8381
Variance0.1386543338
MonotonicityNot monotonic
2025-02-26T22:43:02.270955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.6871 7
 
0.1%
5.6083 6
 
0.1%
5.3024 6
 
0.1%
5.9469 6
 
0.1%
5.761 6
 
0.1%
5.5325 5
 
0.1%
5.4087 5
 
0.1%
5.6722 5
 
0.1%
5.5053 5
 
0.1%
6.1789 5
 
0.1%
Other values (7091) 9944
99.4%
ValueCountFrequency (%)
4.4199 1
< 0.1%
4.4527 1
< 0.1%
4.4712 1
< 0.1%
4.5395 1
< 0.1%
4.5498 1
< 0.1%
ValueCountFrequency (%)
6.8141 1
< 0.1%
6.7525 1
< 0.1%
6.7443 1
< 0.1%
6.6985 1
< 0.1%
6.6882 1
< 0.1%

var_170
Real number (ℝ)

Distinct9682
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10400552
Minimum-13.183
Maximum16.122
Zeros0
Zeros (%)0.0%
Negative4909
Negative (%)49.1%
Memory size156.2 KiB
2025-02-26T22:43:02.644973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-13.183
5-th percentile-7.09603
Q1-3.128475
median0.1115
Q33.28315
95-th percentile7.40281
Maximum16.122
Range29.305
Interquartile range (IQR)6.411625

Descriptive statistics

Standard deviation4.446834233
Coefficient of variation (CV)42.75575213
Kurtosis-0.2915342957
Mean0.10400552
Median Absolute Deviation (MAD)3.20655
Skewness0.08287950618
Sum1040.0552
Variance19.7743347
MonotonicityNot monotonic
2025-02-26T22:43:03.019528image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8994 3
 
< 0.1%
-1.681 3
 
< 0.1%
4.6993 3
 
< 0.1%
-2.4689 3
 
< 0.1%
4.5758 3
 
< 0.1%
0.4985 3
 
< 0.1%
-7.1954 3
 
< 0.1%
1.0105 3
 
< 0.1%
-4.4121 2
 
< 0.1%
-0.5407 2
 
< 0.1%
Other values (9672) 9972
99.7%
ValueCountFrequency (%)
-13.183 1
< 0.1%
-12.8509 1
< 0.1%
-12.8206 1
< 0.1%
-12.4829 1
< 0.1%
-11.8422 1
< 0.1%
ValueCountFrequency (%)
16.122 1
< 0.1%
15.0125 1
< 0.1%
14.1857 1
< 0.1%
14.1221 1
< 0.1%
13.8982 1
< 0.1%

var_171
Real number (ℝ)

Distinct9738
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.86344895
Minimum-18.7086
Maximum16.2469
Zeros0
Zeros (%)0.0%
Negative5659
Negative (%)56.6%
Memory size156.2 KiB
2025-02-26T22:43:03.393513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-18.7086
5-th percentile-9.530225
Q1-4.749675
median-0.8498
Q32.9333
95-th percentile8.202425
Maximum16.2469
Range34.9555
Interquartile range (IQR)7.682975

Descriptive statistics

Standard deviation5.374492421
Coefficient of variation (CV)-6.224447225
Kurtosis-0.3997989259
Mean-0.86344895
Median Absolute Deviation (MAD)3.842
Skewness0.0294455769
Sum-8634.4895
Variance28.88516878
MonotonicityNot monotonic
2025-02-26T22:43:03.828842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5037 3
 
< 0.1%
-3.0556 3
 
< 0.1%
-8.1418 3
 
< 0.1%
-0.2794 3
 
< 0.1%
3.2242 3
 
< 0.1%
-3.1012 2
 
< 0.1%
5.2388 2
 
< 0.1%
-0.5535 2
 
< 0.1%
-4.4596 2
 
< 0.1%
-7.4509 2
 
< 0.1%
Other values (9728) 9975
99.8%
ValueCountFrequency (%)
-18.7086 1
< 0.1%
-17.7963 1
< 0.1%
-17.0759 1
< 0.1%
-16.7476 1
< 0.1%
-16.7271 1
< 0.1%
ValueCountFrequency (%)
16.2469 1
< 0.1%
16.0791 1
< 0.1%
14.3102 1
< 0.1%
14.0051 1
< 0.1%
13.954 1
< 0.1%

var_172
Real number (ℝ)

Distinct9816
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.78947624
Minimum-7.7239
Maximum49.6641
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)0.5%
Memory size156.2 KiB
2025-02-26T22:43:04.233855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-7.7239
5-th percentile5.4258
Q113.5406
median19.67455
Q325.978725
95-th percentile34.318905
Maximum49.6641
Range57.388
Interquartile range (IQR)12.438125

Descriptive statistics

Standard deviation8.739123316
Coefficient of variation (CV)0.4416045786
Kurtosis-0.3440634887
Mean19.78947624
Median Absolute Deviation (MAD)6.22425
Skewness0.07567760932
Sum197894.7624
Variance76.37227632
MonotonicityNot monotonic
2025-02-26T22:43:04.623429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.4149 3
 
< 0.1%
24.8852 3
 
< 0.1%
16.8593 2
 
< 0.1%
19.2008 2
 
< 0.1%
16.0454 2
 
< 0.1%
14.6221 2
 
< 0.1%
14.6301 2
 
< 0.1%
28.0458 2
 
< 0.1%
18.3245 2
 
< 0.1%
30.7523 2
 
< 0.1%
Other values (9806) 9978
99.8%
ValueCountFrequency (%)
-7.7239 1
< 0.1%
-6.9788 1
< 0.1%
-6.8763 1
< 0.1%
-6.5333 1
< 0.1%
-6.0433 1
< 0.1%
ValueCountFrequency (%)
49.6641 1
< 0.1%
49.23 1
< 0.1%
48.8202 1
< 0.1%
48.1208 1
< 0.1%
46.9614 1
< 0.1%

var_173
Real number (ℝ)

Distinct9731
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.63423315
Minimum-19.258
Maximum16.0922
Zeros1
Zeros (%)< 0.1%
Negative5276
Negative (%)52.8%
Memory size156.2 KiB
2025-02-26T22:43:05.041459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-19.258
5-th percentile-10.43089
Q1-4.929
median-0.44225
Q33.600275
95-th percentile9.099805
Maximum16.0922
Range35.3502
Interquartile range (IQR)8.529275

Descriptive statistics

Standard deviation5.914099617
Coefficient of variation (CV)-9.32480369
Kurtosis-0.4768456945
Mean-0.63423315
Median Absolute Deviation (MAD)4.25395
Skewness-0.0688639809
Sum-6342.3315
Variance34.97657428
MonotonicityNot monotonic
2025-02-26T22:43:05.454643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5641 3
 
< 0.1%
-7.4423 3
 
< 0.1%
-2.4948 3
 
< 0.1%
-5.7237 3
 
< 0.1%
-4.0217 3
 
< 0.1%
4.1771 3
 
< 0.1%
-9.4583 2
 
< 0.1%
-4.8532 2
 
< 0.1%
-5.4666 2
 
< 0.1%
2.4507 2
 
< 0.1%
Other values (9721) 9974
99.7%
ValueCountFrequency (%)
-19.258 1
< 0.1%
-18.9814 1
< 0.1%
-18.9226 1
< 0.1%
-18.4652 1
< 0.1%
-18.3008 1
< 0.1%
ValueCountFrequency (%)
16.0922 1
< 0.1%
16.0757 1
< 0.1%
16.0314 1
< 0.1%
15.5921 1
< 0.1%
14.7534 1
< 0.1%

var_174
Real number (ℝ)

Distinct9787
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.20230824
Minimum-0.7571
Maximum40.2019
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)0.1%
Memory size156.2 KiB
2025-02-26T22:43:05.879112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7571
5-th percentile8.142365
Q115.068275
median20.2164
Q325.6971
95-th percentile31.50854
Maximum40.2019
Range40.959
Interquartile range (IQR)10.628825

Descriptive statistics

Standard deviation7.195573589
Coefficient of variation (CV)0.3561758143
Kurtosis-0.488611506
Mean20.20230824
Median Absolute Deviation (MAD)5.30175
Skewness-0.1506972837
Sum202023.0824
Variance51.77627928
MonotonicityNot monotonic
2025-02-26T22:43:06.273452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.4996 3
 
< 0.1%
21.7871 3
 
< 0.1%
23.3983 3
 
< 0.1%
26.5995 2
 
< 0.1%
20.454 2
 
< 0.1%
29.6214 2
 
< 0.1%
20.0813 2
 
< 0.1%
18.0481 2
 
< 0.1%
10.5245 2
 
< 0.1%
27.3722 2
 
< 0.1%
Other values (9777) 9977
99.8%
ValueCountFrequency (%)
-0.7571 1
< 0.1%
-0.7414 1
< 0.1%
-0.6195 1
< 0.1%
-0.6074 1
< 0.1%
-0.4365 1
< 0.1%
ValueCountFrequency (%)
40.2019 1
< 0.1%
40.0734 1
< 0.1%
39.7967 1
< 0.1%
39.1173 1
< 0.1%
38.5792 1
< 0.1%

var_175
Real number (ℝ)

Distinct9546
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.67360032
Minimum3.647
Maximum19.2493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:06.656205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.647
5-th percentile7.154345
Q19.4389
median11.7106
Q313.7765
95-th percentile16.55876
Maximum19.2493
Range15.6023
Interquartile range (IQR)4.3376

Descriptive statistics

Standard deviation2.890589396
Coefficient of variation (CV)0.247617643
Kurtosis-0.551473954
Mean11.67360032
Median Absolute Deviation (MAD)2.168
Skewness0.1378114459
Sum116736.0032
Variance8.355507057
MonotonicityNot monotonic
2025-02-26T22:43:07.092121image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.4324 4
 
< 0.1%
13.932 3
 
< 0.1%
11.7514 3
 
< 0.1%
9.3521 3
 
< 0.1%
10.1515 3
 
< 0.1%
11.7103 3
 
< 0.1%
11.7439 3
 
< 0.1%
9.1575 3
 
< 0.1%
9.8534 3
 
< 0.1%
10.617 3
 
< 0.1%
Other values (9536) 9969
99.7%
ValueCountFrequency (%)
3.647 1
< 0.1%
4.1409 1
< 0.1%
4.2389 1
< 0.1%
4.3457 1
< 0.1%
4.3594 1
< 0.1%
ValueCountFrequency (%)
19.2493 1
< 0.1%
19.2317 1
< 0.1%
19.205 1
< 0.1%
19.2049 1
< 0.1%
19.1798 1
< 0.1%

var_176
Real number (ℝ)

Distinct9816
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.72612612
Minimum-24.8358
Maximum17.7931
Zeros0
Zeros (%)0.0%
Negative6164
Negative (%)61.6%
Memory size156.2 KiB
2025-02-26T22:43:07.520294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-24.8358
5-th percentile-15.244285
Q1-8.273375
median-2.5424
Q32.73665
95-th percentile9.57478
Maximum17.7931
Range42.6289
Interquartile range (IQR)11.010025

Descriptive statistics

Standard deviation7.532644267
Coefficient of variation (CV)-2.763131248
Kurtosis-0.5528928829
Mean-2.72612612
Median Absolute Deviation (MAD)5.47505
Skewness-0.07162866704
Sum-27261.2612
Variance56.74072965
MonotonicityNot monotonic
2025-02-26T22:43:07.904349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7883 3
 
< 0.1%
-9.6616 3
 
< 0.1%
-7.274 2
 
< 0.1%
-9.3136 2
 
< 0.1%
2.7513 2
 
< 0.1%
2.9344 2
 
< 0.1%
-4.0374 2
 
< 0.1%
-1.0077 2
 
< 0.1%
-9.4783 2
 
< 0.1%
-16.0772 2
 
< 0.1%
Other values (9806) 9978
99.8%
ValueCountFrequency (%)
-24.8358 1
< 0.1%
-24.6343 1
< 0.1%
-24.1329 1
< 0.1%
-24.0598 1
< 0.1%
-23.9244 1
< 0.1%
ValueCountFrequency (%)
17.7931 1
< 0.1%
17.2165 1
< 0.1%
15.6116 1
< 0.1%
15.3547 1
< 0.1%
15.0963 1
< 0.1%

var_177
Real number (ℝ)

Distinct9489
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.86978659
Minimum5.9093
Maximum19.0856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:08.278083image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.9093
5-th percentile7.827975
Q19.813425
median11.7268
Q313.90325
95-th percentile16.19533
Maximum19.0856
Range13.1763
Interquartile range (IQR)4.089825

Descriptive statistics

Standard deviation2.615569613
Coefficient of variation (CV)0.220355235
Kurtosis-0.7988643588
Mean11.86978659
Median Absolute Deviation (MAD)2.03405
Skewness0.1204287074
Sum118697.8659
Variance6.8412044
MonotonicityNot monotonic
2025-02-26T22:43:08.675647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7488 5
 
0.1%
9.9048 4
 
< 0.1%
10.7902 3
 
< 0.1%
9.4087 3
 
< 0.1%
10.292 3
 
< 0.1%
12.1 3
 
< 0.1%
9.952 3
 
< 0.1%
14.9096 3
 
< 0.1%
13.7329 3
 
< 0.1%
10.1448 3
 
< 0.1%
Other values (9479) 9967
99.7%
ValueCountFrequency (%)
5.9093 1
< 0.1%
6.0911 1
< 0.1%
6.1727 1
< 0.1%
6.2568 1
< 0.1%
6.2993 1
< 0.1%
ValueCountFrequency (%)
19.0856 1
< 0.1%
18.8126 1
< 0.1%
18.6572 1
< 0.1%
18.5766 1
< 0.1%
18.5581 1
< 0.1%

var_178
Real number (ℝ)

Distinct9810
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.94124893
Minimum-25.5406
Maximum29.8413
Zeros0
Zeros (%)0.0%
Negative5354
Negative (%)53.5%
Memory size156.2 KiB
2025-02-26T22:43:09.076831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-25.5406
5-th percentile-15.06019
Q1-7.273575
median-0.8073
Q35.283725
95-th percentile13.05101
Maximum29.8413
Range55.3819
Interquartile range (IQR)12.5573

Descriptive statistics

Standard deviation8.581039225
Coefficient of variation (CV)-9.116652303
Kurtosis-0.534927581
Mean-0.94124893
Median Absolute Deviation (MAD)6.26455
Skewness0.008998999845
Sum-9412.4893
Variance73.63423419
MonotonicityNot monotonic
2025-02-26T22:43:09.519509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-7.5631 2
 
< 0.1%
2.908 2
 
< 0.1%
-10.9181 2
 
< 0.1%
-9.364 2
 
< 0.1%
-5.7668 2
 
< 0.1%
1.3534 2
 
< 0.1%
10.1871 2
 
< 0.1%
5.449 2
 
< 0.1%
-2.3656 2
 
< 0.1%
-6.0721 2
 
< 0.1%
Other values (9800) 9980
99.8%
ValueCountFrequency (%)
-25.5406 1
< 0.1%
-24.6871 1
< 0.1%
-24.1515 1
< 0.1%
-24.0438 1
< 0.1%
-23.8835 1
< 0.1%
ValueCountFrequency (%)
29.8413 1
< 0.1%
25.2214 1
< 0.1%
23.969 1
< 0.1%
23.9367 1
< 0.1%
23.9309 1
< 0.1%

var_179
Real number (ℝ)

Distinct9512
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.59542761
Minimum-6.789
Maximum12.5093
Zeros0
Zeros (%)0.0%
Negative1815
Negative (%)18.1%
Memory size156.2 KiB
2025-02-26T22:43:09.924258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-6.789
5-th percentile-1.72277
Q10.63525
median2.51995
Q34.403475
95-th percentile7.494405
Maximum12.5093
Range19.2983
Interquartile range (IQR)3.768225

Descriptive statistics

Standard deviation2.783910934
Coefficient of variation (CV)1.072621299
Kurtosis0.008827440065
Mean2.59542761
Median Absolute Deviation (MAD)1.8838
Skewness0.252387489
Sum25954.2761
Variance7.750160087
MonotonicityNot monotonic
2025-02-26T22:43:10.380950image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.592 4
 
< 0.1%
4.6818 3
 
< 0.1%
2.5619 3
 
< 0.1%
1.254 3
 
< 0.1%
1.8694 3
 
< 0.1%
4.4046 3
 
< 0.1%
1.9256 3
 
< 0.1%
0.7692 3
 
< 0.1%
-0.4697 3
 
< 0.1%
7.6162 3
 
< 0.1%
Other values (9502) 9969
99.7%
ValueCountFrequency (%)
-6.789 1
< 0.1%
-6.2349 1
< 0.1%
-6.1929 1
< 0.1%
-6.1208 1
< 0.1%
-5.4649 1
< 0.1%
ValueCountFrequency (%)
12.5093 1
< 0.1%
12.3218 1
< 0.1%
11.9933 1
< 0.1%
11.8448 1
< 0.1%
11.7979 1
< 0.1%

var_180
Real number (ℝ)

Distinct9728
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.74386933
Minimum-18.0231
Maximum12.3537
Zeros0
Zeros (%)0.0%
Negative6873
Negative (%)68.7%
Memory size156.2 KiB
2025-02-26T22:43:10.807818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-18.0231
5-th percentile-11.26198
Q1-6.62845
median-2.7101
Q30.990325
95-th percentile6.16045
Maximum12.3537
Range30.3768
Interquartile range (IQR)7.618775

Descriptive statistics

Standard deviation5.27158293
Coefficient of variation (CV)-1.921222295
Kurtosis-0.4955741219
Mean-2.74386933
Median Absolute Deviation (MAD)3.80485
Skewness0.070657813
Sum-27438.6933
Variance27.78958659
MonotonicityNot monotonic
2025-02-26T22:43:12.176019image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.7102 4
 
< 0.1%
-3.2573 3
 
< 0.1%
-4.6683 3
 
< 0.1%
-0.6925 3
 
< 0.1%
0.6819 3
 
< 0.1%
2.9204 3
 
< 0.1%
-11.0709 2
 
< 0.1%
-7.8846 2
 
< 0.1%
0.9071 2
 
< 0.1%
1.005 2
 
< 0.1%
Other values (9718) 9973
99.7%
ValueCountFrequency (%)
-18.0231 1
< 0.1%
-17.2274 1
< 0.1%
-17.2198 1
< 0.1%
-17.1445 1
< 0.1%
-17.1305 1
< 0.1%
ValueCountFrequency (%)
12.3537 1
< 0.1%
11.6156 1
< 0.1%
11.51 1
< 0.1%
10.6677 1
< 0.1%
10.6591 1
< 0.1%

var_181
Real number (ℝ)

Distinct9058
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.09706272
Minimum6.1364
Maximum13.8816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:12.598749image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.1364
5-th percentile7.91975
Q19.0985
median10.0501
Q311.022325
95-th percentile12.50145
Maximum13.8816
Range7.7452
Interquartile range (IQR)1.923825

Descriptive statistics

Standard deviation1.375931234
Coefficient of variation (CV)0.1362704454
Kurtosis-0.2973859827
Mean10.09706272
Median Absolute Deviation (MAD)0.96055
Skewness0.198336967
Sum100970.6272
Variance1.89318676
MonotonicityNot monotonic
2025-02-26T22:43:13.043478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3909 4
 
< 0.1%
10.6066 4
 
< 0.1%
9.1935 4
 
< 0.1%
9.3362 4
 
< 0.1%
10.1397 3
 
< 0.1%
10.191 3
 
< 0.1%
10.7908 3
 
< 0.1%
9.0719 3
 
< 0.1%
10.7968 3
 
< 0.1%
9.6484 3
 
< 0.1%
Other values (9048) 9966
99.7%
ValueCountFrequency (%)
6.1364 1
< 0.1%
6.2787 1
< 0.1%
6.2906 1
< 0.1%
6.3319 1
< 0.1%
6.4055 1
< 0.1%
ValueCountFrequency (%)
13.8816 1
< 0.1%
13.778 1
< 0.1%
13.7732 1
< 0.1%
13.7691 1
< 0.1%
13.7687 1
< 0.1%

var_182
Real number (ℝ)

Distinct9820
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66871359
Minimum-24.5461
Maximum25.6654
Zeros1
Zeros (%)< 0.1%
Negative4724
Negative (%)47.2%
Memory size156.2 KiB
2025-02-26T22:43:13.481703image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-24.5461
5-th percentile-13.93816
Q1-6.0525
median0.72955
Q37.446175
95-th percentile14.91222
Maximum25.6654
Range50.2115
Interquartile range (IQR)13.498675

Descriptive statistics

Standard deviation8.91885174
Coefficient of variation (CV)13.33732688
Kurtosis-0.6653367441
Mean0.66871359
Median Absolute Deviation (MAD)6.75835
Skewness-0.02893460273
Sum6687.1359
Variance79.54591637
MonotonicityNot monotonic
2025-02-26T22:43:13.903694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.6076 3
 
< 0.1%
6.7937 3
 
< 0.1%
-11.2999 2
 
< 0.1%
-9.6548 2
 
< 0.1%
10.1118 2
 
< 0.1%
-4.4127 2
 
< 0.1%
10.2235 2
 
< 0.1%
-3.4955 2
 
< 0.1%
-1.0145 2
 
< 0.1%
9.4556 2
 
< 0.1%
Other values (9810) 9978
99.8%
ValueCountFrequency (%)
-24.5461 1
< 0.1%
-23.3956 1
< 0.1%
-22.1783 1
< 0.1%
-21.834 1
< 0.1%
-21.6651 1
< 0.1%
ValueCountFrequency (%)
25.6654 1
< 0.1%
25.0709 1
< 0.1%
25.0019 1
< 0.1%
24.9689 1
< 0.1%
24.9203 1
< 0.1%

var_183
Real number (ℝ)

Distinct9671
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.83737458
Minimum-4.046
Maximum22.7352
Zeros0
Zeros (%)0.0%
Negative163
Negative (%)1.6%
Memory size156.2 KiB
2025-02-26T22:43:14.319714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.046
5-th percentile1.66766
Q15.5096
median8.65865
Q312.16105
95-th percentile16.17245
Maximum22.7352
Range26.7812
Interquartile range (IQR)6.65145

Descriptive statistics

Standard deviation4.457909199
Coefficient of variation (CV)0.5044381856
Kurtosis-0.5842704643
Mean8.83737458
Median Absolute Deviation (MAD)3.31795
Skewness0.06044356254
Sum88373.7458
Variance19.87295442
MonotonicityNot monotonic
2025-02-26T22:43:14.730392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.1914 4
 
< 0.1%
9.3127 3
 
< 0.1%
6.9635 3
 
< 0.1%
3.6643 3
 
< 0.1%
6.6018 3
 
< 0.1%
12.3894 3
 
< 0.1%
16.1187 3
 
< 0.1%
12.0245 3
 
< 0.1%
5.3932 3
 
< 0.1%
8.8491 3
 
< 0.1%
Other values (9661) 9969
99.7%
ValueCountFrequency (%)
-4.046 1
< 0.1%
-3.6923 1
< 0.1%
-3.3264 1
< 0.1%
-3.2232 1
< 0.1%
-3.1545 1
< 0.1%
ValueCountFrequency (%)
22.7352 1
< 0.1%
22.4873 1
< 0.1%
21.849 1
< 0.1%
21.6009 1
< 0.1%
21.5509 1
< 0.1%

var_184
Real number (ℝ)

Distinct9815
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.7251604
Minimum-16.7306
Maximum41.1036
Zeros0
Zeros (%)0.0%
Negative789
Negative (%)7.9%
Memory size156.2 KiB
2025-02-26T22:43:15.119456image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-16.7306
5-th percentile-1.66568
Q15.745375
median12.40745
Q319.20375
95-th percentile28.463845
Maximum41.1036
Range57.8342
Interquartile range (IQR)13.458375

Descriptive statistics

Standard deviation9.222576586
Coefficient of variation (CV)0.7247513034
Kurtosis-0.4930076489
Mean12.7251604
Median Absolute Deviation (MAD)6.72055
Skewness0.1738042333
Sum127251.604
Variance85.05591888
MonotonicityNot monotonic
2025-02-26T22:43:15.531654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2235 3
 
< 0.1%
15.4143 3
 
< 0.1%
32.6986 2
 
< 0.1%
8.3285 2
 
< 0.1%
11.7222 2
 
< 0.1%
-0.9968 2
 
< 0.1%
11.6193 2
 
< 0.1%
33.6851 2
 
< 0.1%
-3.7552 2
 
< 0.1%
5.7098 2
 
< 0.1%
Other values (9805) 9978
99.8%
ValueCountFrequency (%)
-16.7306 1
< 0.1%
-13.2375 1
< 0.1%
-12.774 1
< 0.1%
-11.5824 1
< 0.1%
-11.4876 1
< 0.1%
ValueCountFrequency (%)
41.1036 1
< 0.1%
40.9009 1
< 0.1%
40.2222 1
< 0.1%
39.8995 1
< 0.1%
39.1859 1
< 0.1%

var_185
Real number (ℝ)

Distinct9720
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.95182086
Minimum-20.5079
Maximum10.7464
Zeros0
Zeros (%)0.0%
Negative7862
Negative (%)78.6%
Memory size156.2 KiB
2025-02-26T22:43:15.938087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-20.5079
5-th percentile-11.696105
Q1-7.3678
median-3.86875
Q3-0.595925
95-th percentile3.760235
Maximum10.7464
Range31.2543
Interquartile range (IQR)6.771875

Descriptive statistics

Standard deviation4.729438983
Coefficient of variation (CV)-1.196774639
Kurtosis-0.4005359381
Mean-3.95182086
Median Absolute Deviation (MAD)3.3661
Skewness-0.04758976095
Sum-39518.2086
Variance22.3675931
MonotonicityNot monotonic
2025-02-26T22:43:16.354639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.4479 3
 
< 0.1%
-5.9777 3
 
< 0.1%
-3.0477 3
 
< 0.1%
-0.6001 3
 
< 0.1%
-7.8767 2
 
< 0.1%
-5.8885 2
 
< 0.1%
-8.6798 2
 
< 0.1%
0.161 2
 
< 0.1%
-9.0481 2
 
< 0.1%
0.574 2
 
< 0.1%
Other values (9710) 9976
99.8%
ValueCountFrequency (%)
-20.5079 1
< 0.1%
-20.0152 1
< 0.1%
-19.9797 1
< 0.1%
-19.566 1
< 0.1%
-19.2033 1
< 0.1%
ValueCountFrequency (%)
10.7464 1
< 0.1%
10.6147 1
< 0.1%
10.0032 1
< 0.1%
9.894 1
< 0.1%
9.7153 1
< 0.1%

var_186
Real number (ℝ)

Distinct9539
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.93125424
Minimum-1.7879
Maximum20.5134
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)< 0.1%
Memory size156.2 KiB
2025-02-26T22:43:16.770226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7879
5-th percentile3.81507
Q16.670775
median8.8556
Q311.152075
95-th percentile14.20438
Maximum20.5134
Range22.3013
Interquartile range (IQR)4.4813

Descriptive statistics

Standard deviation3.156717722
Coefficient of variation (CV)0.3534461832
Kurtosis-0.3691556959
Mean8.93125424
Median Absolute Deviation (MAD)2.2475
Skewness0.1045381843
Sum89312.5424
Variance9.964866777
MonotonicityNot monotonic
2025-02-26T22:43:17.162534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6237 3
 
< 0.1%
8.9837 3
 
< 0.1%
9.6612 3
 
< 0.1%
8.9408 3
 
< 0.1%
7.2917 3
 
< 0.1%
8.1241 3
 
< 0.1%
6.7046 3
 
< 0.1%
8.1869 3
 
< 0.1%
7.1378 3
 
< 0.1%
4.3981 3
 
< 0.1%
Other values (9529) 9970
99.7%
ValueCountFrequency (%)
-1.7879 1
< 0.1%
-0.7669 1
< 0.1%
-0.3462 1
< 0.1%
-0.2118 1
< 0.1%
-0.0094 1
< 0.1%
ValueCountFrequency (%)
20.5134 1
< 0.1%
20.1038 1
< 0.1%
19.2482 1
< 0.1%
18.8144 1
< 0.1%
18.6702 1
< 0.1%

var_187
Real number (ℝ)

Distinct9863
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-10.31753697
Minimum-47.7536
Maximum17.614
Zeros0
Zeros (%)0.0%
Negative7843
Negative (%)78.4%
Memory size156.2 KiB
2025-02-26T22:43:17.554849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-47.7536
5-th percentile-29.202615
Q1-19.383025
median-10.21235
Q3-1.289175
95-th percentile8.31523
Maximum17.614
Range65.3676
Interquartile range (IQR)18.09385

Descriptive statistics

Standard deviation11.66042072
Coefficient of variation (CV)-1.130155458
Kurtosis-0.7167995159
Mean-10.31753697
Median Absolute Deviation (MAD)9.0436
Skewness-0.02825631857
Sum-103175.3697
Variance135.9654115
MonotonicityNot monotonic
2025-02-26T22:43:17.995483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.3265 3
 
< 0.1%
-14.2511 2
 
< 0.1%
-19.1071 2
 
< 0.1%
-29.8797 2
 
< 0.1%
-17.3371 2
 
< 0.1%
-21.5179 2
 
< 0.1%
-5.9048 2
 
< 0.1%
-2.1892 2
 
< 0.1%
4.6429 2
 
< 0.1%
-0.9412 2
 
< 0.1%
Other values (9853) 9979
99.8%
ValueCountFrequency (%)
-47.7536 1
< 0.1%
-45.7835 1
< 0.1%
-43.9776 1
< 0.1%
-43.9213 1
< 0.1%
-42.9899 1
< 0.1%
ValueCountFrequency (%)
17.614 1
< 0.1%
17.5902 1
< 0.1%
17.0323 1
< 0.1%
16.2146 1
< 0.1%
16.1833 1
< 0.1%

var_188
Real number (ℝ)

Distinct9643
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.37726336
Minimum5.1116
Maximum27.1434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:18.428120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.1116
5-th percentile8.909615
Q112.545775
median15.14635
Q318.365525
95-th percentile21.898345
Maximum27.1434
Range22.0318
Interquartile range (IQR)5.81975

Descriptive statistics

Standard deviation3.941736822
Coefficient of variation (CV)0.2563353914
Kurtosis-0.5539768725
Mean15.37726336
Median Absolute Deviation (MAD)2.85705
Skewness0.06603670245
Sum153772.6336
Variance15.53728917
MonotonicityNot monotonic
2025-02-26T22:43:18.849914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.1131 3
 
< 0.1%
14.3796 3
 
< 0.1%
15.921 3
 
< 0.1%
17.9812 3
 
< 0.1%
20.3907 3
 
< 0.1%
17.7534 3
 
< 0.1%
11.5257 3
 
< 0.1%
15.5999 3
 
< 0.1%
6.9303 3
 
< 0.1%
20.6231 3
 
< 0.1%
Other values (9633) 9970
99.7%
ValueCountFrequency (%)
5.1116 1
< 0.1%
6.0766 1
< 0.1%
6.1205 1
< 0.1%
6.1258 1
< 0.1%
6.1303 1
< 0.1%
ValueCountFrequency (%)
27.1434 1
< 0.1%
26.6683 1
< 0.1%
26.5284 1
< 0.1%
26.3333 1
< 0.1%
26.2829 1
< 0.1%

var_189
Real number (ℝ)

Distinct8734
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74827448
Minimum-2.1069
Maximum3.5874
Zeros0
Zeros (%)0.0%
Negative2510
Negative (%)25.1%
Memory size156.2 KiB
2025-02-26T22:43:19.226384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.1069
5-th percentile-0.8313
Q1-0.003325
median0.7587
Q31.49265
95-th percentile2.34781
Maximum3.5874
Range5.6943
Interquartile range (IQR)1.495975

Descriptive statistics

Standard deviation0.9828506989
Coefficient of variation (CV)1.313489535
Kurtosis-0.6797923674
Mean0.74827448
Median Absolute Deviation (MAD)0.7465
Skewness7.722838905 × 10-5
Sum7482.7448
Variance0.9659954962
MonotonicityNot monotonic
2025-02-26T22:43:19.613793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7557 5
 
0.1%
0.9619 4
 
< 0.1%
0.0414 4
 
< 0.1%
0.8115 4
 
< 0.1%
0.8421 4
 
< 0.1%
1.3328 4
 
< 0.1%
1.0665 4
 
< 0.1%
-0.1706 4
 
< 0.1%
2.0063 4
 
< 0.1%
0.9045 4
 
< 0.1%
Other values (8724) 9959
99.6%
ValueCountFrequency (%)
-2.1069 1
< 0.1%
-2.0887 1
< 0.1%
-1.9371 1
< 0.1%
-1.9112 1
< 0.1%
-1.8716 1
< 0.1%
ValueCountFrequency (%)
3.5874 1
< 0.1%
3.501 1
< 0.1%
3.4925 1
< 0.1%
3.4705 1
< 0.1%
3.3727 1
< 0.1%

var_190
Real number (ℝ)

Distinct9677
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.23131627
Minimum-12.1845
Maximum17.569
Zeros0
Zeros (%)0.0%
Negative2547
Negative (%)25.5%
Memory size156.2 KiB
2025-02-26T22:43:20.000021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-12.1845
5-th percentile-4.07416
Q1-0.0625
median3.22505
Q36.365875
95-th percentile10.871115
Maximum17.569
Range29.7535
Interquartile range (IQR)6.428375

Descriptive statistics

Standard deviation4.497970477
Coefficient of variation (CV)1.391993262
Kurtosis-0.4085739825
Mean3.23131627
Median Absolute Deviation (MAD)3.20945
Skewness0.04360978325
Sum32313.1627
Variance20.23173841
MonotonicityNot monotonic
2025-02-26T22:43:20.433060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6117 3
 
< 0.1%
5.5339 3
 
< 0.1%
5.6506 3
 
< 0.1%
7.4097 3
 
< 0.1%
-0.1744 2
 
< 0.1%
4.2214 2
 
< 0.1%
1.1691 2
 
< 0.1%
2.891 2
 
< 0.1%
-2.5807 2
 
< 0.1%
1.9215 2
 
< 0.1%
Other values (9667) 9976
99.8%
ValueCountFrequency (%)
-12.1845 1
< 0.1%
-11.0746 1
< 0.1%
-10.0845 1
< 0.1%
-10.0743 1
< 0.1%
-10.0627 1
< 0.1%
ValueCountFrequency (%)
17.569 1
< 0.1%
16.5594 1
< 0.1%
15.7814 1
< 0.1%
15.5146 1
< 0.1%
15.3935 1
< 0.1%

var_191
Real number (ℝ)

Distinct9538
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.41770076
Minimum-1.2956
Maximum16.2911
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)0.1%
Memory size156.2 KiB
2025-02-26T22:43:20.838899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.2956
5-th percentile2.788045
Q15.147775
median7.3327
Q39.468925
95-th percentile12.619555
Maximum16.2911
Range17.5867
Interquartile range (IQR)4.32115

Descriptive statistics

Standard deviation3.024362379
Coefficient of variation (CV)0.4077223491
Kurtosis-0.3492598273
Mean7.41770076
Median Absolute Deviation (MAD)2.1689
Skewness0.2281213423
Sum74177.0076
Variance9.146767797
MonotonicityNot monotonic
2025-02-26T22:43:21.252058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7915 3
 
< 0.1%
4.5808 3
 
< 0.1%
7.1153 3
 
< 0.1%
8.8378 3
 
< 0.1%
9.5014 3
 
< 0.1%
7.297 3
 
< 0.1%
4.5403 3
 
< 0.1%
9.4103 3
 
< 0.1%
6.6864 3
 
< 0.1%
5.069 3
 
< 0.1%
Other values (9528) 9970
99.7%
ValueCountFrequency (%)
-1.2956 1
< 0.1%
-0.9532 1
< 0.1%
-0.5901 1
< 0.1%
-0.5254 1
< 0.1%
-0.5123 1
< 0.1%
ValueCountFrequency (%)
16.2911 1
< 0.1%
16.2559 1
< 0.1%
16.1913 1
< 0.1%
16.1053 1
< 0.1%
16.0223 1
< 0.1%

var_192
Real number (ℝ)

Distinct9114
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.91269541
Minimum-2.7508
Maximum6.8595
Zeros1
Zeros (%)< 0.1%
Negative1021
Negative (%)10.2%
Memory size156.2 KiB
2025-02-26T22:43:21.672426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.7508
5-th percentile-0.47554
Q10.859
median1.8763
Q32.92905
95-th percentile4.37553
Maximum6.8595
Range9.6103
Interquartile range (IQR)2.07005

Descriptive statistics

Standard deviation1.48361103
Coefficient of variation (CV)0.7756650759
Kurtosis-0.2051039785
Mean1.91269541
Median Absolute Deviation (MAD)1.0373
Skewness0.1144566104
Sum19126.9541
Variance2.20110169
MonotonicityNot monotonic
2025-02-26T22:43:22.071970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3257 4
 
< 0.1%
2.1336 4
 
< 0.1%
4.8751 4
 
< 0.1%
0.5054 4
 
< 0.1%
1.3439 3
 
< 0.1%
1.6477 3
 
< 0.1%
2.2018 3
 
< 0.1%
2.559 3
 
< 0.1%
0.1987 3
 
< 0.1%
0.9213 3
 
< 0.1%
Other values (9104) 9966
99.7%
ValueCountFrequency (%)
-2.7508 1
< 0.1%
-2.7109 1
< 0.1%
-2.6258 1
< 0.1%
-2.5128 1
< 0.1%
-2.4605 1
< 0.1%
ValueCountFrequency (%)
6.8595 1
< 0.1%
6.7313 1
< 0.1%
6.5851 1
< 0.1%
6.577 1
< 0.1%
6.5741 1
< 0.1%

var_193
Real number (ℝ)

Distinct9643
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.25731692
Minimum-9.9461
Maximum15.6152
Zeros0
Zeros (%)0.0%
Negative2075
Negative (%)20.8%
Memory size156.2 KiB
2025-02-26T22:43:22.462897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-9.9461
5-th percentile-3.446875
Q10.4985
median3.30705
Q36.11825
95-th percentile9.607985
Maximum15.6152
Range25.5613
Interquartile range (IQR)5.61975

Descriptive statistics

Standard deviation3.992527797
Coefficient of variation (CV)1.225710576
Kurtosis-0.2353773425
Mean3.25731692
Median Absolute Deviation (MAD)2.81025
Skewness-0.1119949113
Sum32573.1692
Variance15.94027821
MonotonicityNot monotonic
2025-02-26T22:43:22.889253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5408 4
 
< 0.1%
2.8432 3
 
< 0.1%
5.2225 3
 
< 0.1%
6.0298 3
 
< 0.1%
5.1167 3
 
< 0.1%
2.771 3
 
< 0.1%
3.1982 3
 
< 0.1%
4.2497 3
 
< 0.1%
4.7947 3
 
< 0.1%
5.3197 3
 
< 0.1%
Other values (9633) 9969
99.7%
ValueCountFrequency (%)
-9.9461 1
< 0.1%
-9.8732 1
< 0.1%
-9.3545 1
< 0.1%
-9.1315 1
< 0.1%
-9.0541 1
< 0.1%
ValueCountFrequency (%)
15.6152 1
< 0.1%
15.4651 1
< 0.1%
15.2709 1
< 0.1%
15.0172 1
< 0.1%
14.8716 1
< 0.1%

var_194
Real number (ℝ)

Distinct9572
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.92457725
Minimum9.1446
Maximum26.9833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:23.268710image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9.1446
5-th percentile12.834585
Q115.564675
median17.86105
Q320.31215
95-th percentile22.9755
Maximum26.9833
Range17.8387
Interquartile range (IQR)4.747475

Descriptive statistics

Standard deviation3.13346317
Coefficient of variation (CV)0.1748137837
Kurtosis-0.6596120676
Mean17.92457725
Median Absolute Deviation (MAD)2.36555
Skewness0.001579019453
Sum179245.7725
Variance9.818591436
MonotonicityNot monotonic
2025-02-26T22:43:23.682314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.6589 4
 
< 0.1%
17.4021 3
 
< 0.1%
17.3772 3
 
< 0.1%
17.7767 3
 
< 0.1%
22.8873 3
 
< 0.1%
20.4015 3
 
< 0.1%
17.5058 3
 
< 0.1%
17.2929 3
 
< 0.1%
16.6825 3
 
< 0.1%
18.0382 3
 
< 0.1%
Other values (9562) 9969
99.7%
ValueCountFrequency (%)
9.1446 1
< 0.1%
9.515 1
< 0.1%
10.3605 1
< 0.1%
10.387 1
< 0.1%
10.392 1
< 0.1%
ValueCountFrequency (%)
26.9833 1
< 0.1%
26.6755 1
< 0.1%
26.6502 1
< 0.1%
26.5158 1
< 0.1%
26.3275 1
< 0.1%

var_195
Real number (ℝ)

Distinct9083
Distinct (%)90.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.16230994
Minimum-5.0481
Maximum3.8718
Zeros0
Zeros (%)0.0%
Negative5479
Negative (%)54.8%
Memory size156.2 KiB
2025-02-26T22:43:24.108864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-5.0481
5-th percentile-2.409755
Q1-1.198425
median-0.18345
Q30.8013
95-th percentile2.3038
Maximum3.8718
Range8.9199
Interquartile range (IQR)1.999725

Descriptive statistics

Standard deviation1.41455626
Coefficient of variation (CV)-8.715154843
Kurtosis-0.3246516705
Mean-0.16230994
Median Absolute Deviation (MAD)0.99765
Skewness0.1358196016
Sum-1623.0994
Variance2.000969412
MonotonicityNot monotonic
2025-02-26T22:43:24.490994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.147 4
 
< 0.1%
-0.7811 4
 
< 0.1%
-0.3231 4
 
< 0.1%
-1.3349 4
 
< 0.1%
0.4096 3
 
< 0.1%
-2.4663 3
 
< 0.1%
-0.8388 3
 
< 0.1%
1.3032 3
 
< 0.1%
-0.186 3
 
< 0.1%
-1.6689 3
 
< 0.1%
Other values (9073) 9966
99.7%
ValueCountFrequency (%)
-5.0481 1
< 0.1%
-4.2941 1
< 0.1%
-4.1475 1
< 0.1%
-4.1212 1
< 0.1%
-4.0922 1
< 0.1%
ValueCountFrequency (%)
3.8718 1
< 0.1%
3.6289 1
< 0.1%
3.5697 1
< 0.1%
3.5273 1
< 0.1%
3.5037 1
< 0.1%

var_196
Real number (ℝ)

Distinct9737
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.33723222
Minimum-12.7112
Maximum16.7897
Zeros0
Zeros (%)0.0%
Negative3546
Negative (%)35.5%
Memory size156.2 KiB
2025-02-26T22:43:24.880053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-12.7112
5-th percentile-6.482095
Q1-1.902
median2.46945
Q36.614875
95-th percentile10.78945
Maximum16.7897
Range29.5009
Interquartile range (IQR)8.516875

Descriptive statistics

Standard deviation5.427430807
Coefficient of variation (CV)2.322161555
Kurtosis-0.7451510966
Mean2.33723222
Median Absolute Deviation (MAD)4.25135
Skewness-0.03630842866
Sum23372.3222
Variance29.45700517
MonotonicityNot monotonic
2025-02-26T22:43:25.283844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5101 3
 
< 0.1%
4.5717 3
 
< 0.1%
5.7707 3
 
< 0.1%
-0.2866 3
 
< 0.1%
-4.1211 3
 
< 0.1%
4.9596 3
 
< 0.1%
-0.9014 3
 
< 0.1%
-2.732 3
 
< 0.1%
7.6372 2
 
< 0.1%
1.7642 2
 
< 0.1%
Other values (9727) 9972
99.7%
ValueCountFrequency (%)
-12.7112 1
< 0.1%
-12.4603 1
< 0.1%
-12.3196 1
< 0.1%
-12.2315 1
< 0.1%
-11.7752 1
< 0.1%
ValueCountFrequency (%)
16.7897 1
< 0.1%
15.2344 1
< 0.1%
15.118 1
< 0.1%
15.1027 1
< 0.1%
14.6177 1
< 0.1%

var_197
Real number (ℝ)

Distinct8620
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.90636561
Minimum6.2955
Maximum11.9534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:25.695116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.2955
5-th percentile7.39228
Q18.246075
median8.88235
Q39.59105
95-th percentile10.40223
Maximum11.9534
Range5.6579
Interquartile range (IQR)1.344975

Descriptive statistics

Standard deviation0.9199574551
Coefficient of variation (CV)0.1032921278
Kurtosis-0.4599418921
Mean8.90636561
Median Absolute Deviation (MAD)0.66965
Skewness-0.02597094172
Sum89063.6561
Variance0.8463217191
MonotonicityNot monotonic
2025-02-26T22:43:26.097794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2477 5
 
0.1%
8.4745 4
 
< 0.1%
8.4023 4
 
< 0.1%
9.0061 4
 
< 0.1%
9.6158 4
 
< 0.1%
8.3699 4
 
< 0.1%
8.8352 4
 
< 0.1%
8.7145 4
 
< 0.1%
8.9665 4
 
< 0.1%
8.5929 4
 
< 0.1%
Other values (8610) 9959
99.6%
ValueCountFrequency (%)
6.2955 1
< 0.1%
6.3433 1
< 0.1%
6.3926 1
< 0.1%
6.4027 1
< 0.1%
6.4256 1
< 0.1%
ValueCountFrequency (%)
11.9534 1
< 0.1%
11.8661 1
< 0.1%
11.6638 1
< 0.1%
11.5208 1
< 0.1%
11.4688 1
< 0.1%

var_198
Real number (ℝ)

Distinct9526
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.88204813
Minimum7.1934
Maximum25.4422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.2 KiB
2025-02-26T22:43:26.513309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7.1934
5-th percentile10.669195
Q113.85115
median15.9441
Q318.04525
95-th percentile20.65905
Maximum25.4422
Range18.2488
Interquartile range (IQR)4.1941

Descriptive statistics

Standard deviation2.99845531
Coefficient of variation (CV)0.188795254
Kurtosis-0.2744808624
Mean15.88204813
Median Absolute Deviation (MAD)2.09935
Skewness-0.1628257584
Sum158820.4813
Variance8.990734247
MonotonicityNot monotonic
2025-02-26T22:43:26.928822image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.6832 3
 
< 0.1%
14.7895 3
 
< 0.1%
18.1369 3
 
< 0.1%
15.7832 3
 
< 0.1%
15.51 3
 
< 0.1%
13.1045 3
 
< 0.1%
19.1033 3
 
< 0.1%
14.3213 3
 
< 0.1%
15.3612 3
 
< 0.1%
14.1439 3
 
< 0.1%
Other values (9516) 9970
99.7%
ValueCountFrequency (%)
7.1934 1
< 0.1%
7.2311 1
< 0.1%
7.4591 1
< 0.1%
7.5452 1
< 0.1%
7.7065 1
< 0.1%
ValueCountFrequency (%)
25.4422 1
< 0.1%
24.6394 1
< 0.1%
24.4073 1
< 0.1%
24.3894 1
< 0.1%
24.2526 1
< 0.1%

var_199
Real number (ℝ)

Distinct9816
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.28832805
Minimum-34.139
Maximum26.4688
Zeros0
Zeros (%)0.0%
Negative5867
Negative (%)58.7%
Memory size156.2 KiB
2025-02-26T22:43:27.345855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-34.139
5-th percentile-20.854345
Q1-11.0842
median-2.7927
Q34.803525
95-th percentile12.636505
Maximum26.4688
Range60.6078
Interquartile range (IQR)15.887725

Descriptive statistics

Standard deviation10.38766627
Coefficient of variation (CV)-3.158950724
Kurtosis-0.6840846431
Mean-3.28832805
Median Absolute Deviation (MAD)7.8837
Skewness-0.1598055012
Sum-32883.2805
Variance107.9036106
MonotonicityNot monotonic
2025-02-26T22:43:27.716369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0602 3
 
< 0.1%
-13.3672 3
 
< 0.1%
-0.6458 3
 
< 0.1%
0.5191 3
 
< 0.1%
-0.0737 2
 
< 0.1%
6.6472 2
 
< 0.1%
-2.6146 2
 
< 0.1%
8.0132 2
 
< 0.1%
9.3608 2
 
< 0.1%
4.2753 2
 
< 0.1%
Other values (9806) 9976
99.8%
ValueCountFrequency (%)
-34.139 1
< 0.1%
-34.0476 1
< 0.1%
-33.654 1
< 0.1%
-33.2898 1
< 0.1%
-32.5305 1
< 0.1%
ValueCountFrequency (%)
26.4688 1
< 0.1%
24.6225 1
< 0.1%
23.3721 1
< 0.1%
23.1071 1
< 0.1%
22.861 1
< 0.1%